doppler.phyphox

<phyphox version="1.14" locale="en">
  <title>Doppler effect</title>
  <category>Acoustics</category>
  <icon 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</icon>
  <description>
        Detect small frequency shifts of the Doppler effect.

        You need a tone generator that emits a constant frequency (for example 1000Hz). Enter this base frequency in the experiments setup and select a detection range in which you expect the Doppler shifted frequency (for example 10Hz). The experiment will determine the recorded frequency and calculate the relative speed of the sound source.
    </description>
  <link label="Wiki">http://phyphox.org/wiki/index.php?title=Experiment:_Doppler_Effect</link>
  <translations>
    <translation locale="de">
      <title>Dopplereffekt</title>
      <category>Akustik</category>
      <description>
        Kleine Frequenzänderungen des Dopplereffekts messen.

                Hierzu wird ein Tongenerator benötigt, der eine konstante Frequenz erzeugt (z.B. 1000Hz). Diese Frequenz muss im Experiment angegeben werden zusammen mit einer Frequenzspanne, in welcher die Doppler-Verschobene Frequenz erwartet wird (z.B. 10Hz). Das Experiment ermittelt die aufgenommene Frequenz und berechnet die relative Geschwindigkeit der Schallquelle.
    </description>
      <string original="Setup">Einstellungen</string>
      <string original="Base frequency">Grundfrequenz</string>
      <string original="Frequency range">Frequenzspanne</string>
      <string original="Time step">Zeitintervall</string>
      <string original="Speed of sound">Schallgeschw.</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Zeitintervall gibt an, mit welcher Rate und mit wie vielen Daten eine Geschwindigkeit bestimmt wird. Der Algorithmus wird die Frequenz um die Grundfrequenz innerhalb von -Frequenzspanne und +Frequenzspanne suchen. Dabei verwendet er die n-te Periode der Grundfrequenz (siehe unten). Zu extreme Einstellungen für das Zeitintervall oder die Spanne führen zu ungenauen Ergebnissen oder könnten für das Handy zu aufwändig werden. Außerdem sollte die Spanne deutlich kleiner sein als 1/Zeitintervall.</string>
      <string original="nth period">n-te Periode</string>
      <string original="Results">Ergebnisse</string>
      <string original="Frequency">Frequenz</string>
      <string original="Speed">Geschwindigkeit</string>
    </translation>
    <translation locale="cs">
      <title>Dopplerův jev</title>
      <category>Akustika</category>
      <description>
        Detekuje malé Dopplerovské posuny frekvence.

Budete potřebovat tónový generátor produkující konstantní frekvenci (například 1000Hz). Tuto základní frekvenci zadejte do nastavení experimentu. Dále nastavte detekční rozsah, do nějž očekáváte, že se vejde frekvenční posun (například 10Hz). Experiment určí zaznamenanou frekvenci a vypočítá z ní relativní rychlost zdroje zvuku.
    </description>
      <string original="Setup">Nastavení</string>
      <string original="Base frequency">Základní frekvence zdroje</string>
      <string original="Frequency range">Rozsah frekvencí</string>
      <string original="Time step">Časový krok</string>
      <string original="Speed of sound">Rychlost zvuku</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Časový krok určuje tempo a množství získávaných dat, které jsou použity pro výpočet rychlosti v jednom bodě. Algoritmus bude hledat frekvenci kolem základní frekvence zdroje +-Rozsah frekvencí. K určení frekvence bude použita n-tá perioda (viz níže). Zadání extrémních hodnot do políček rozsahu nebo časového kroku může způsobit vyšší nepřesnost měření anebo znemožnit výpočet kvůli omezené výpočetní kapacitě vašeho mobilního zařízení. Dále byste měli udržet rozsah v hodnotách podstatně menších než je 1/krok.</string>
      <string original="nth period">N-tá perioda</string>
      <string original="Results">Výsledky</string>
      <string original="Frequency">Frekvence</string>
      <string original="Speed">Rychlost</string>
    </translation>
    <translation locale="pl">
      <title>Efekt Dopplera</title>
      <category>Akustyka</category>
      <description>
        Zarejestruj niewielką zmianę częstotliwości wywołaną efektem Dopplera.

        W tym ćwiczeniu niezbędny jest generator dźwięku będący źródłem tonu (np. o częstotliwości 1000 Hz). Wprowadź wartość częstotliwości podstawowej i określ zakres potencjalnych zmian wywołanych ruchem źródła bądź odbiornika dźwięku (np. 10 Hz). W eksperymencie przeprowadzona zostanie analiza rejestrowanego dźwięku i możliwe będzie określenie względnej szybkości ruchu źródła dźwięku.
    </description>
      <string original="Setup">Ustawienia</string>
      <string original="Base frequency">Częstotliwość podstawowa</string>
      <string original="Frequency range">Zakres zmian</string>
      <string original="Time step">Krok czasu</string>
      <string original="Speed of sound">Szybkość dźwięku</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Krok czasu określa przedział czasu, z którego dane wykorzystywane są do obliczeń szybkości ruchu. Algorytm wyszukuje częstotliwości z przedziału (-krok czasu ; + krok czasu) i korzysta z n okresów (poniżej) do określenia zmiany częstotliwości. Skrajne ustawienia zakresu zmian lub kroku mogą prowadzić do błędnych wyników obliczeń lub uniemożliwić ich przeprowadzenie. Należy dbać, by zakres zmian był znacząco mniejszy od 1/krok czasu.</string>
      <string original="nth period">n okresów</string>
      <string original="Results">Rezultaty</string>
      <string original="Frequency">Częstotliwość</string>
      <string original="Speed">Szybkość</string>
    </translation>
    <translation locale="nl">
      <title>Doppler effect</title>
      <category>Geluid</category>
      <description>
        Detecteer kleine frequentieverschuivingen ten gevolge van het Doppler-effect.

         U hebt een toongenerator nodig die een constante frequentie uitzendt (bijvoorbeeld 1000 Hz). Voer deze basisfrequentie in bij de setup en stel een detectiebereik waarbinnen u de frequentieverschuiving verwacht (bijvoorbeeld 10Hz). Het experiment bepaalt de opgenomen frequentie en berekent de relatieve snelheid van de geluidsbron.
    </description>
      <string original="Base frequency">Basisfrequentie</string>
      <string original="Frequency range">Frequentiebereik</string>
      <string original="Time step">Tijdstoename</string>
      <string original="Speed of sound">Geluidssnelheid</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">De tijdstoename bepaalt de snelheid en de hoeveelheid gegevens die worden gebruikt om een enkel snelheidspunt te berekenen. Het algoritme zoekt naar een frequentie rond de basisfrequentie van -bereik tot + bereik en gebruikt de n-de periode (hieronder) om de frequentie te bepalen. Extreme instellingen voor het bereik of de tijdstoename kunnen onnauwkeurig zijn of te moeilijk te berekenen voor uw smartphone. Bovendien moet u het bereik aanzienlijk kleiner houden dan 1 / stap.</string>
      <string original="nth period">n-de periode</string>
      <string original="Results">Resultaten</string>
      <string original="Frequency">Frequentie</string>
      <string original="Speed">Snelheid</string>
    </translation>
    <translation locale="ru">
      <title>Эффект Доплера</title>
      <category>Акустика</category>
      <description>
        Обнаружение малых частотных сдвигов эффекта Доплера.

        Вам нужен генератор тона, который испускает постоянную частоту (например, 1000 Гц). Введите эту базовую частоту в настройки экспериментов и выберите диапазон обнаружения, в котором вы ожидаете сдвиг Доплеровской частоты (например, 10 Гц). Эксперимент определит записанную частоту и рассчитает относительную скорость источника звука.
    </description>
      <string original="Setup">Настройки</string>
      <string original="Base frequency">Базовая частота</string>
      <string original="Frequency range">Диапазон частот</string>
      <string original="Time step">Временной интервал</string>
      <string original="Speed of sound">Скорость звука</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Временной интервал определяет скорость и объем данных, которые используются для вычисления скорости. Алгоритм будет искать частоту вокруг базовой частоты в +/- диапазоне и использовать n-й период (нижний) для определения частоты. Экстремальные настройки для диапазона или временного интервала могут быть неточными или слишком сложными для расчета на вашем телефоне. Поэтому вы должны держать диапазон значительно меньше, чем 1/интервал.</string>
      <string original="nth period">n-й период</string>
      <string original="Results">Результаты</string>
      <string original="Frequency">Частота</string>
      <string original="Speed">Скорость</string>
    </translation>
    <translation locale="it">
      <title>Effetto Doppler</title>
      <category>Acustica</category>
      <description>
        Rivela piccoli spostamenti di frequenza dovuti all'effetto Doppler.

Usa qualcosa che generi un tono a frequenza costante (per esempio 1000Hz). Puoi usare, per esempio, un altro smartphone con phyphox. Inserisci tale frequenza nel setup dell'esperimento e seleziona un intervallo nel quale ti aspetti che si trovi la frequenza Doppler (per esempio 10Hz). L'esperimento determinerà la frequenza registrata e calcolerà la velocità della sorgente relativa allo smartphone.
    </description>
      <string original="Setup">Configurazione</string>
      <string original="Base frequency">Frequenza da fermo</string>
      <string original="Frequency range">Intervallo di frequenze</string>
      <string original="Time step">Intervallo temporale</string>
      <string original="Speed of sound">Velocità del suono</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">L'intervallo temporale Δt determina la frequenza e la quantità di dati usata per calcolare ciascun punto. L'algoritmo cerca una frequenza attorno a quella di base da -F a +F dove F è il valore inserito quale intervallo di frequenze. Configurazioni troppo spinte per questo valore posso risultare in un valore poco accurato o rendere addirittura impossibile il calcolo. Suggeriamo di usare un intervallo di frequenze sensibilmente inferiore a 1/Δt.</string>
      <string original="nth period">periodo n-esimo</string>
      <string original="Frequency">Frequenza</string>
      <string original="Speed">Velocità</string>
    </translation>
    <translation locale="el">
      <title>Φαινόμενο Doppler</title>
      <category>Ακουστική</category>
      <description>
        Ανίχνευση μικρών μεταβολών συχνότητας που οφείλονται στο φαινόμενο Doppler.

        Xρειάζεστε μια γεννήτρια συχνοτήτων η οποία εκπέμπει μια σταθερή συχνότητα (π.χ  1000 Hz). Εισάγετε αυτή τη βασική συχνότητα και διαλέξτε ένα εύρος μέσα στο οποίο περιμένετε τη μεταβολή της συχνότητας εξαιτίας του Doppler (π.χ 10Hz). To πείραμα θα μετρήσει την καταγραφόμενη συχνότητα και θα υπολογίσει τη σχετική της πηγής του ήχου.
    </description>
      <string original="Setup">Ρυθμίσεις</string>
      <string original="Base frequency">Βασική συχνότητα</string>
      <string original="Frequency range">Εύρος συχνότητας</string>
      <string original="Time step">Βήμα χρόνου</string>
      <string original="Speed of sound">Ταχύτητα ήχου</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Το βήμα του χρόνου καθορίζει το ρυθμό και το πλήθος των δεδομένων που χρησιμοποιούνται για τον υπολογισμό μιας τιμής της ταχύτητας. Ο αλγόριθμος θα αναζητήσει μια συχνότητα κοντά στη βασική συχνότητα μέσα στο διάστημα - εύρος έως +εύρος και θα χρησιμοποιήσει τη νιοστή περίοδο (παρακάτω) για να καθορίσει τη συχνότητα. Ακραίες ρυθμίσεις στο εύρος και στο βήμα χρόνου μπορεί να είναι ανακριβή ή εξαιρετικά δύσκολο για το τηλέφωνο σας να κάνει τον υπολογισμό. Επίσης φροντίστε να διατηρείται το εύρος σημαντικά μικρότερο από το 1/(βήμα χρόνου).</string>
      <string original="nth period">νιοστή περίοδος</string>
      <string original="Results">Αποτελέσματα</string>
      <string original="Frequency">Συχνότητα</string>
      <string original="Speed">Ταχύτητα</string>
    </translation>
    <translation locale="ja">
      <title>ドップラー効果</title>
      <category>音響</category>
      <description>
        ドップラー効果の微小周波数シフトの検知．

本実験には，一定の特定周波数音(1000 Hzのような) が出せる音源が必要です．設定に基準周波数を入力し，ドップラー効果による周波数シフトの検知範囲 (10 Hzなど) を選択してください．本実験では，録音された音声の周波数を決定し，音源の相対速度を計算します．
    </description>
      <string original="Setup">設定</string>
      <string original="Base frequency">基準音の周波数</string>
      <string original="Frequency range">周波数範囲</string>
      <string original="Time step">時間ステップ</string>
      <string original="Speed of sound">音速</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">ドップラーシフト計測の時間ステップは，音源速度を一定とみなし計算する音響データの取得頻度と数を決定します．本実験のアルゴリズムは基準周波数の-(周波数範囲)から+(周波数範囲)までの周波数を探し周波数特定するため，基準音周期のn倍遅れた音響データとの自己相関を計算し，周波数シフトを検出します．範囲や時間ステップの極端な値の設定は不正確な値を算出するか，お持ちのデバイスでの計算が難しくなるかもしれません．周波数範囲は，時間ステップの逆数よりも十分に小さい範囲を設定するようにしてください．</string>
      <string original="nth period">n番目周期</string>
      <string original="Results">結果</string>
      <string original="Frequency">周波数</string>
      <string original="Speed">速度</string>
    </translation>
    <translation locale="pt">
      <title>Efeito Doppler</title>
      <category>Acústica</category>
      <description>
        Detecta pequenos deslocamentos na frequência devido ao efeito Doppler.

        Você precisa de um gerador de Tom que emite uma frequência constante (por exemplo 1000Hz). Informe esta frequência base na configuração do experimento e selecione a faixa de detecção na qual você espera o deslocamento Doppler (por exemplo 10Hz). O experimento irá determinar a frequência gravada e calcular a velocidade relativa da fonte sonora.
    </description>
      <string original="Setup">Confirugração</string>
      <string original="Base frequency">Frequência Base</string>
      <string original="Frequency range">Faixa de Frequência</string>
      <string original="Time step">Passo do Tempo</string>
      <string original="Speed of sound">Velocidade do Som</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Passo do tempo determina a taxa e a quantia de dados que é utilizada para calcular a velocidade de um único ponto. O algoritmo irá procurar por uma frequência ao redor da frequência base, de -faixa até +faixa e usar o n-ésimo período (abaixo) para determinar a frequência. Configurações extremas para a faixa ou o passo do tempo podem ser imprecisos ou muito difíceis de calculcular pelo aparelho. Além disso, você deve manter a faixa significantemente menor que 1/passo.</string>
      <string original="nth period">n-ésimo período</string>
      <string original="Results">Resultados</string>
      <string original="Frequency">Frequência</string>
      <string original="Speed">Velocidade</string>
    </translation>
    <translation locale="tr">
      <title>Doppler etkisi</title>
      <category>Akustik</category>
      <description>
        Doppler etkisinin küçük frekans değişimlerini tespit edin.

        Sabit bir frekans yayan bir ton üretecine (örneğin 1000Hz) ihtiyacınız vardır. Deneme kurulumunda bu temel frekansı girin ve Doppler kayma frekansı beklediğiniz bir algılama aralığı seçin (örneğin 10Hz). Deneme, kaydedilen frekansı belirleyecek ve ses kaynağının göreceli hızını hesaplayacaktır.
    </description>
      <string original="Setup">Kurulum</string>
      <string original="Base frequency">Baz frekansı</string>
      <string original="Frequency range">Frekans aralığı</string>
      <string original="Time step">Zaman kademesi</string>
      <string original="Speed of sound">Ses hızı</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Zaman kademesi, tek bir hız noktasını hesaplamak için kullanılan verinin sıklığını ve miktarını belirler. Algoritma, baz frekansı etrafındaki bir frekansı -noktadan +nokta aralığına kadar arar ve frekansı belirlemek için nth periyodunu (aşağıda) kullanır. Aralık veya zaman adımı için aşırı ayarlar seçmek, telefonunuz için hesaplamakta yanlış veya çok zor olabilir. Ayrıca, aralığı 1/adımdan önemli ölçüde küçük tutmalısınız.</string>
      <string original="nth period">nth periyodu</string>
      <string original="Results">Sonuçlar</string>
      <string original="Frequency">Frekans</string>
      <string original="Speed">Hız</string>
    </translation>
    <translation locale="zh_Hant">
      <title>都卜勒效應</title>
      <category>聲學</category>
      <description>
        偵測因都卜勒效應所造成的小頻率偏移。

	你需要一個可以產生固定頻率（例如1000Hz）的器具。在「設置」處輸入這基準頻率，並選擇你預期的都卜勒偏移頻率範圍（例如10Hz）。這實驗會透過量測到的頻率以計算聲源的相對速度。
    </description>
      <string original="Setup">設置</string>
      <string original="Base frequency">基準頻率</string>
      <string original="Frequency range">頻率範圍</string>
      <string original="Time step">時間節距</string>
      <string original="Speed of sound">聲速</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">時間節距決定計算一個速度的數據點的速度及數據量。演算法會查看在基準頻率上下範圍內的第n個週期（下面所示）的頻率以決定頻率。對於範圍及時間節距太超過的設定都會造成不精準及手機計算速度的問題，並且你應該讓範圍顯著地比1/時間節距來得小。</string>
      <string original="nth period">第n週期</string>
      <string original="Results">結果</string>
      <string original="Frequency">頻率</string>
      <string original="Speed">速度</string>
    </translation>
    <translation locale="fr">
      <title>Effet Doppler</title>
      <category>Acoustique</category>
      <description>
        Détecte les petits décalages de fréquence dus à l’effet Doppler.

         Il vous faut un générateur qui émet un son à une fréquence constante (par exemple 1000 Hz). Entrez cette fréquence de référence ainsi que la plage autour de cette référence dans laquelle l'expérience devra travailler (par exemple 10 Hz). L'expérience déterminera la fréquence du son reçu et calculera la vitesse relative de la source sonore.
    </description>
      <string original="Setup">Configuration</string>
      <string original="Base frequency">Fréquence de référence</string>
      <string original="Frequency range">Plage de fréquences</string>
      <string original="Time step">Pas en temps</string>
      <string original="Speed of sound">vitesse du son</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Le pas en temps détermine la quantité de données utilisées pour mesurer une fréquence (et calculer une vitesse). L'algorithme cherchera une fréquence dans la plage de fréquence  (en + et en -) autour de la fréquence de référence, et utilisera la Nième période (définie ci-dessous) pour déterminer la fréquence. Les paramètres extrêmes pour la plage ou le pas en temps peuvent être inexacts ou trop difficiles à calculer pour votre téléphone. En outre, vous devez conserver la plage de fréquence nettement inférieure à l'inverse du pas en temps.</string>
      <string original="nth period">Nième période</string>
      <string original="Results">Résultats</string>
      <string original="Frequency">Fréquence</string>
      <string original="Speed">Vitesse</string>
    </translation>
    <translation locale="vi">
      <title>Hiệu ứng Doppler</title>
      <category>Âm học</category>
      <description>
        Phát hiện sự dịch chuyển nhỏ của tần số trong hiệu ứng Doppler.

        Bạn cần một bộ tạo âm phát ra tần số không đổi (ví dụ 1000Hz). Nhập tần số cơ sở này trong thiết lập thí nghiệm và chọn phạm vi phát hiện mà bạn mong đợi tần số thay đổi Doppler (ví dụ 10Hz). Thí nghiệm sẽ xác định tần số được ghi và tính tốc độ tương đối của nguồn âm thanh.
    </description>
      <string original="Setup">Thiết lập</string>
      <string original="Base frequency">Tần số cơ sở</string>
      <string original="Frequency range">Dải tần số</string>
      <string original="Time step">Bước thời gian</string>
      <string original="Speed of sound">Tốc độ âm</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Bước thời gian xác định tốc độ và lượng dữ liệu được sử dụng để tính toán vận tốc một điểm duy nhất. Thuật toán sẽ tìm tần số xung quanh tần số cơ bản từ phạm vi đến -dải tần số đến +dải tần số và sử dụng khoảng thời gian thứ n (bên dưới) để xác định tần số. Cài đặt quá lớn cho độ dải tần số hoặc bước thời gian có thể làm cho điện thoại của bạn tính toán không chính xác hoặc quá khó. Ngoài ra, bạn nên giữ dải tần số nhỏ hơn nhiều 1/bước thời gian.</string>
      <string original="nth period">Khoảng thứ n</string>
      <string original="Results">Kết quả</string>
      <string original="Frequency">Tần số</string>
      <string original="Speed">Tốc độ</string>
    </translation>
    <translation locale="zh_Hans">
      <title>多普勒效应</title>
      <category>声学</category>
      <description>
        测试多普勒效应的小范围频率偏移。

        你需要一个能产生固定频率（比如1000Hz）的音频发生器。在实验设置中输入这个基频，并选择你期待测量的多普勒偏移频率范围（比如10Hz）。本实验能确定所记录的频率并计算声源的相对速度。
    </description>
      <string original="Setup">设置</string>
      <string original="Base frequency">基准频率</string>
      <string original="Frequency range">频率范围</string>
      <string original="Time step">时间步长</string>
      <string original="Speed of sound">声音速度</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">时间步长能确定待数据的采集速率与数量，用来计算单个速度点。对应算法会查看基准频率上下范围内的第n个周期（如下所示）来确定频率。对范围或时间步长设置过度可能会不准确或使你的手机难以计算。同时，你应该设置远小于步长倒数的频率范围。</string>
      <string original="nth period">第n个周期</string>
      <string original="Results">结果</string>
      <string original="Frequency">频率</string>
      <string original="Speed">速度</string>
    </translation>
    <translation locale="sr">
      <title>Doplerov efekat</title>
      <category>Akustika</category>
      <description>
        Detektujte male promene u frekvenciji Doplerovog efekta.

        Potreban Vam je generator tona koji emituje konstantnu frekvenciju (na primer 1000Hz). Unesite ovu osnovnu frekvenciju u podešavanja eksperimenta i izaberite opseg detektovanja u kom očekujete frekvenciju promenjenu Doplerovim efektom (na primer 10Hz). Eksperiment će odrediti snimljenu frekvenciju i izračunati relativnu brzinu i zvuk izvora.
    </description>
      <string original="Setup">Podešavanja</string>
      <string original="Base frequency">Osnovna frekvencija</string>
      <string original="Frequency range">Opseg frekvencije</string>
      <string original="Time step">Vremenski interval</string>
      <string original="Speed of sound">Brzina zvuka</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Vremenski interval određuje stopu i količinu podataka koja se koristi pri izračunavanju brzine. Algoritam će potražiti frekvenciju  približnu osnovnoj frekvenciji od -opsega do +opsega i koristiti n-ti period (ispod) da odredi frekvenciju. Ekstremna podešavanja za opseg ili vremenski interval mogu biti netačna ili previše komplikovana za izračunavanje za Vaš telefon. Takođe, trebalo bi da držite opseg znatno manji od 1/interval.</string>
      <string original="nth period">n-ti period</string>
      <string original="Results">Rezultati</string>
      <string original="Frequency">Frekvencija</string>
      <string original="Speed">Brzina</string>
    </translation>
    <translation locale="sr_Latn">
      <title>Doplerov efekat</title>
      <category>Akustika</category>
      <description>
        Detektujte male promene u frekvenciji Doplerovog efekta.

        Potreban Vam je generator tona koji emituje konstantnu frekvenciju (na primer 1000Hz). Unesite ovu osnovnu frekvenciju u podešavanja eksperimenta i izaberite opseg detektovanja u kom očekujete frekvenciju promenjenu Doplerovim efektom (na primer 10Hz). Eksperiment će odrediti snimljenu frekvenciju i izračunati relativnu brzinu i zvuk izvora.
    </description>
      <string original="Setup">Podešavanja</string>
      <string original="Base frequency">Osnovna frekvencija</string>
      <string original="Frequency range">Opseg frekvencije</string>
      <string original="Time step">Vremenski interval</string>
      <string original="Speed of sound">Brzina zvuka</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">Vremenski interval određuje stopu i količinu podataka koja se koristi pri izračunavanju brzine. Algoritam će potražiti frekvenciju  približnu osnovnoj frekvenciji od -opsega do +opsega i koristiti n-ti period (ispod) da odredi frekvenciju. Ekstremna podešavanja za opseg ili vremenski interval mogu biti netačna ili previše komplikovana za izračunavanje za Vaš telefon. Takođe, trebalo bi da držite opseg znatno manji od 1/interval.</string>
      <string original="nth period">n-ti period</string>
      <string original="Results">Rezultati</string>
      <string original="Frequency">Frekvencija</string>
      <string original="Speed">Brzina</string>
    </translation>
    <translation locale="es">
      <title>Efecto Doppler</title>
      <category>Acústica</category>
      <description>
        Detecta pequeños cambios de frecuencia del efecto Doppler.

         Necesita un generador de tonos que emita una frecuencia constante (por ejemplo, 1000Hz). Ingrese esta frecuencia base en la configuración de los experimentos y seleccione un rango de detección en el que espera la frecuencia desplazada Doppler (por ejemplo, 10Hz). El experimento determinará la frecuencia registrada y calculará la velocidad relativa de la fuente de sonido.
    </description>
      <string original="Setup">Configuración</string>
      <string original="Base frequency">Frecuencia base</string>
      <string original="Frequency range">Rango de frecuencia</string>
      <string original="Time step">Tiempo de paso</string>
      <string original="Speed of sound">Velocidad de Sonido</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">El  tiempo de paso determina la velocidad y la cantidad de datos que se utilizan para calcular un único punto de velocidad. El algoritmo buscará una frecuencia en un rango alrededor de la frecuencia base, y usará el enésimo período (mostrado debajo) para determinar la frecuencia. Las configuraciones extremas para el rango o el intervalo de tiempo pueden ser inexactas o demasiado difíciles de calcular para su teléfono. Además, debe mantener el rango significativamente más pequeño que 1/paso.</string>
      <string original="nth period">período nth</string>
      <string original="Results">Resultados</string>
      <string original="Frequency">Frecuencia</string>
      <string original="Speed">Velocidad</string>
    </translation>
    <translation locale="ka">
      <title>დოპლერის ეფექტი</title>
      <category>აკუსტიკა</category>
      <description>
        აღმოაჩნიე მცდირედი სიხშირის ცვლილებები დოპლერის ეფექტით.

        თქვენ გჭირდებათ ტონის გენერატორი რომელიც იძლევა მუდმივ სიხშირეს (მაგალითად 1000ჰც). შეიყვანე ეს მონაცემი ექსპერიმენტის მონაცემებში, ასევე უნდა შეიყვანო დოლპრეის ეფექტის ცვლილების მოსალოდნელი სიხშირე (მაგალითად 10ჰც). ექსპერიმენტი ჩაიწერს ხმას და გამოთვლის ხმის წყაროს ფარდობით სიჩქარეს.
    </description>
      <string original="Setup">დაყენება</string>
      <string original="Base frequency">საბაზისო სიხშირე</string>
      <string original="Frequency range">სიხშირის დიაპაზონი</string>
      <string original="Time step">დროის ბიჯი</string>
      <string original="Speed of sound">ხსმის სიჩქარე</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">დროის ბიჯი განსაზღვრავს სიხშირეს და მონაცემების რაოდენობას, რაც გამოყენებული იქნება სიჩქარის გამოთვლაში. ალგორითმი ეძენს საბაზისო სიხშირის მახლობელ სიხშირეებს თქვენ მიერ მითითებულ საზღვრებში და გამოიყენებს მე-n-ე პერიოდს (ქვემოთ) რათა გამოთვალოს სიხშირე. ექსტრემალური პარამეტრები საზღვრებისთვის ან დროის ბიჯისთვის შეიძლება არაზუსტი იყოს თქვენი ტელეფონისთვის. ასევე საზღვრები გაცილებით პატარა უნდა იყოს ვიდე 1/ბიჯი.</string>
      <string original="nth period">მე-n-ე პერიოდი</string>
      <string original="Results">შედეგები</string>
      <string original="Frequency">სიხშირე</string>
      <string original="Speed">სიჩქარე</string>
    </translation>
    <translation locale="hi">
      <title>डॉप्लर प्रभाव</title>
      <category>ध्वनि विज्ञान</category>
      <description>
        डॉप्लर प्रभाव के कारण आवृत्ति में हुए सूक्ष्म परिवर्तन को मापता है।

        आपको एक टोन जेनेरेटर की आवश्यकता होगी जो एक स्थिर आवृत्ति (उदाहरण के लिए 1000Hz की) जेनेरेट करता है। प्रयोग सेटअप में इस मूल आवृत्ति को एंटर करें और डॉप्लर प्रभाव की अनुमानित आवृत्ति विस्थापन (फ्रीक्वेंसी शिफ्ट) आवृत्ति रेंज (range) में डालें। प्रयोग आवृत्ति को रिकॉर्ड करेगा और उससे ध्वनि स्त्रोत की सापेक्ष चाल की गणना करेगा।
    </description>
      <string original="Setup">सेटअप</string>
      <string original="Base frequency">मूल आवृत्ति</string>
      <string original="Frequency range">आवृत्ति रेंज</string>
      <string original="Time step">समय अंतराल</string>
      <string original="Speed of sound">ध्वनि की गति</string>
      <string original="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step.">समयांतराल, उस दर और डेटा की मात्रा निर्धारित करता है जिसका उपयोग एक वेग डाटा बिंदु की गणना के लिए किया जाता है। गणना विधि मूल आवृत्ति के आसपास -रेंज से +रेंज तक आवृत्ति की तलाश करेगा और आवृत्ति निर्धारित करने के लिए nवां पीरियड (नीचे देखिये) का उपयोग करेगा। हो सकता है कि रेंज या समयांतराल के लिए यदि आप अधिकतम संख्या की सेटिंग्स डालें तो वो गलत हों अथवा आपके फ़ोन के लिए उनके अनुसार गणना करना बहुत ही कठिन हो। साथ ही, आपको रेंज को 1/समयांतराल से काफी छोटा रखना चाहिए।</string>
      <string original="nth period">nवां पीरियड</string>
      <string original="Results">परिणाम</string>
      <string original="Frequency">आवृत्ति</string>
      <string original="Speed">चाल</string>
    </translation>
  </translations>
  <data-containers>
    <container size="48000">recording</container>
    <container>rate</container>
    <container>tmax</container>
    <container size="48000">time</container>
    <container>f</container>
    <container>df</container>
    <container>dt</container>
    <container>dt_samples</container>
    <container>c</container>
    <container size="1000" static="true">Nth_step</container>
    <container size="1000">Nth_frequency_lower_limit</container>
    <container size="1000">Nth_period_upper_limit</container>
    <container size="1000">Nth_step_filtered</container>
    <container size="1000">Nth_period_upper_limit_filtered</container>
    <container>periodFactor</container>
    <container>minf</container>
    <container>maxf</container>
    <container>minPeriod</container>
    <container>maxPeriod</container>
    <container>startTime</container>
    <container size="100">period</container>
    <container size="100">frequency</container>
    <container size="100">temp1</container>
    <container size="100">temp2</container>
    <container size="100">temp3</container>
    <container size="100">speed</container>
    <container size="100">time_res</container>
    <container size="0">frequency_hist</container>
    <container size="0">frequency_hist_filtered</container>
    <container size="0">speed_hist</container>
    <container size="0">speed_hist_filtered</container>
    <container size="0">time_hist</container>
    <container size="0">time_hist_filtered</container>
  </data-containers>
  <input>
    <audio>
      <output>recording</output>
      <output component="rate">rate</output>
    </audio>
  </input>
  <views>
    <view label="Setup">
      <edit label="Base frequency" unit="[[unit_short_hertz]]" default="1000" signed="false">
        <output>f</output>
      </edit>
      <edit label="Frequency range" unit="[[unit_short_hertz]]" default="10" signed="false">
        <output>df</output>
      </edit>
      <edit label="Time step" unit="[[unit_short_milli_second]]" default="50" signed="false">
        <output>dt</output>
      </edit>
      <edit label="Speed of sound" unit="[[unit_short_meter_per_second]]" default="340" signed="false">
        <output>c</output>
      </edit>
      <separator height="1"/>
      <info label="Time step determines the rate and the amount of data that is used to calculate a single velocity point. The algorithm will look for a frequency around the base frequency from -range to +range and use the nth period (below) to determine the frequency. Extreme settings for the range or time step may be inaccurate or too hard to calculate for your phone. Also, you should keep range significantly smaller than 1/step."/>
      <value label="nth period">
        <input>periodFactor</input>
      </value>
    </view>
    <view label="Results">
      <graph label="Frequency" timeOnX="true" labelX="[[quantity_short_time]]" unitX="[[unit_short_second]]" labelY="Frequency" unitY="[[unit_short_hertz]]" partialUpdate="true">
        <input axis="x">time_hist_filtered</input>
        <input axis="y">frequency_hist_filtered</input>
      </graph>
      <graph label="Speed" timeOnX="true" labelX="[[quantity_short_time]]" unitX="[[unit_short_second]]" labelY="Speed" unitY="[[unit_short_meter_per_second]]" unitYperX="[[unit_short_meter_per_square_second]]" partialUpdate="true" color="ffff00">
        <input axis="x">time_hist_filtered</input>
        <input axis="y">speed_hist_filtered</input>
      </graph>
    </view>
  </views>
  <analysis sleep="0.5">
    <divide>
      <input type="value">48000</input>
      <input clear="false">rate</input>
      <output>tmax</output>
    </divide>
    <ramp>
      <input as="start" type="value">0</input>
      <input as="stop" clear="false">tmax</input>
      <output>time</output>
    </ramp>
    <ramp>
      <input as="start" type="value">1</input>
      <input as="stop" type="value">1000</input>
      <output>Nth_step</output>
    </ramp>
    <subtract>
      <input clear="false">f</input>
      <input clear="false">df</input>
      <output>minf</output>
    </subtract>
    <add>
      <input clear="false">f</input>
      <input clear="false">df</input>
      <output>maxf</output>
    </add>
    <divide>
      <input clear="false">minf</input>
      <input clear="false">Nth_step</input>
      <output>Nth_frequency_lower_limit</output>
    </divide>
    <divide>
      <input clear="false">rate</input>
      <input>Nth_frequency_lower_limit</input>
      <output>Nth_period_upper_limit</output>
    </divide>
    <multiply>
      <input clear="false">dt</input>
      <input type="value">48</input>
      <output clear="false">dt_samples</output>
    </multiply>
    <rangefilter>
      <input as="in">Nth_period_upper_limit</input>
      <input as="max" clear="false">dt_samples</input>
      <input as="in">Nth_step</input>
      <output>Nth_period_upper_limit_filtered</output>
      <output>Nth_step_filtered</output>
    </rangefilter>
    <max>
      <input as="y">Nth_step_filtered</input>
      <output as="max">periodFactor</output>
    </max>
    <multiply>
      <input clear="false">periodFactor</input>
      <input clear="false">rate</input>
      <output>temp1</output>
    </multiply>
    <divide>
      <input clear="false">temp1</input>
      <input clear="false">minf</input>
      <output>maxPeriod</output>
    </divide>
    <divide>
      <input>temp1</input>
      <input clear="false">maxf</input>
      <output>minPeriod</output>
    </divide>
    <periodicity>
      <input as="x">time</input>
      <input as="y">recording</input>
      <input as="dx">dt_samples</input>
      <input as="overlap" type="value">0</input>
      <input as="min">minPeriod</input>
      <input as="max">maxPeriod</input>
      <output as="time">time_res</output>
      <output as="period">period</output>
    </periodicity>
    <divide>
      <input clear="false">periodFactor</input>
      <input>period</input>
      <output>frequency</output>
    </divide>
    <divide>
      <input clear="false">f</input>
      <input clear="false">frequency</input>
      <output>temp2</output>
    </divide>
    <subtract>
      <input type="value">1</input>
      <input>temp2</input>
      <output>temp3</output>
    </subtract>
    <multiply>
      <input clear="false">c</input>
      <input>temp3</input>
      <output>speed</output>
    </multiply>
    <append>
      <input>frequency</input>
      <output clear="false">frequency_hist</output>
    </append>
    <append>
      <input>speed</input>
      <output clear="false">speed_hist</output>
    </append>
    <timer>
      <output>startTime</output>
    </timer>
    <add>
      <input>time_res</input>
      <input>startTime</input>
      <output clear="false">time_hist</output>
    </add>
    <rangefilter>
      <input as="min">minf</input>
      <input as="max">maxf</input>
      <input as="in" clear="false">frequency_hist</input>
      <input as="in" clear="false">time_hist</input>
      <input as="in" clear="false">speed_hist</input>
      <output>frequency_hist_filtered</output>
      <output>time_hist_filtered</output>
      <output>speed_hist_filtered</output>
    </rangefilter>
  </analysis>
  <export>
    <set name="Frequency and speed">
      <data name="Time (s)">time_hist</data>
      <data name="Frequency (Hz)">frequency_hist_filtered</data>
      <data name="Speed (m/s)">speed_hist</data>
    </set>
  </export>
</phyphox>