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@andreasWallner
Created January 11, 2017 23:57
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{
"cells": [
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"plt.rcParams['figure.figsize'] = (20.0, 10.0)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"fref = 2*13.56e6\n",
"fosc = 2.15e9\n",
"Mlim = 4\n",
"cycles = 3"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"N = 79, M = 1\n",
"AVG: N = 79.25, f = 2.712934e+07\n"
]
}
],
"source": [
"fractN = round(Mlim * fosc / fref)\n",
"N = fractN // 4\n",
"M = fractN & (Mlim - 1)\n",
"Navg = (Mlim * N + M) / Mlim\n",
"favg = fosc / Navg\n",
"\n",
"print(\"N = {0}, M = {1}\".format(N, M))\n",
"print(\"AVG: N = {0}, f = {1:e}\".format(Navg, favg))"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"periodCnt = np.array(range(Mlim * cycles + 1))\n",
"Ns = np.tile(\n",
" np.full(Mlim, N, dtype='float'),\n",
" cycles)\n",
"cs = np.tile(\n",
" np.concatenate([np.zeros(Mlim - M), np.ones(M)]),\n",
" cycles)\n",
"\n",
"# prepend 0 to final vector\n",
"Ns = np.insert(Ns, 0, 0)\n",
"cs = np.insert(cs, 0, 0)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"counts = Ns + cs\n",
"periods = counts / fosc\n",
"edgeTimes = np.cumsum(periods)\n",
"avgTimes = periodCnt / favg\n",
"refTimes = periodCnt / fref\n",
"\n",
"error = edgeTimes - refTimes"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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h8LlQ1fi5r/66Nlp5b1XWxll71Pbdp52OBQCOoBACAAAA4NH2nzyh78f205rr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\n4i09HurK6WNaVitIby1boTuZs2pOu1ma3vwTJUjgdDIAAAA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"text/plain": [
"<matplotlib.figure.Figure at 0xb129940>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.add_subplot(111)\n",
"ax.plot(edgeTimes)\n",
"ax.plot(avgTimes)\n",
"ax.plot(refTimes, '--');"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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CyqBdqKqSRo6Unn9eGj/eahQACCjXdVVWV+ZZEq2oXKH+Pfp7jp3179Gf00QAAABABKMM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\nvQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0xb18cbe0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.add_subplot(111)\n",
"ax.plot(error)\n",
"ax.plot(avgTimes - refTimes);"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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