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Updated for Python 3.6
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Appendix-H-Least-Squares-Filters.ipynb

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"metadata": {},
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"outputs": [],
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"source": [
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"from __future__ import division, print_function\n",
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"%matplotlib inline"
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]
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},
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" <style>\n",
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" .output_wrapper, .output {\n",
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" height:auto !important;\n",
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" max-height:100000px; \n",
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" max-height:100000px;\n",
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" }\n",
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" .output_scroll {\n",
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" box-shadow:none !important;\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.6"
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"version": "3.7.4"
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}
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},
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"nbformat": 4,

Appendix-I-Analytic-Evaluation-of-Performance.ipynb

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],
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"source": [
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"#format the book\n",
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"from __future__ import division, print_function\n",
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"%matplotlib inline\n",
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"from book_format import load_style\n",
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"load_style()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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"outputs": [],
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.6"
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"version": "3.7.4"
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}
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},
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"nbformat": 4,

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