114 lines
2.3 KiB
Plaintext
114 lines
2.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from lasp import SeriesBiquad\n",
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"import numpy as np"
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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": 6,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2022-08-16 15:02:57+0200 \n",
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"2022-08-16 15:02:57+0200 Enter SeriesBiquad (lasp_biquadbank.cpp: 12)\n",
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"2022-08-16 15:02:57+0200 Leave SeriesBiquad (lasp_biquadbank.cpp)\n"
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]
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}
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],
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"source": [
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"coefs = np.array([1.,0,0,1.,-.9,0])\n",
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"bq = SeriesBiquad(coefs)"
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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": 7,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2022-08-16 15:02:57+0200 \n",
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"2022-08-16 15:02:57+0200 Enter filter (lasp_biquadbank.cpp: 41)\n",
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"2022-08-16 15:02:57+0200 Leave filter (lasp_biquadbank.cpp)\n"
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]
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}
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],
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"source": [
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"x = np.zeros(10, dtype=float)\n",
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"x[0] = 1\n",
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"\n",
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"x2 = bq.filter(x)"
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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": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[1. ],\n",
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" [0.9 ],\n",
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" [0.81 ],\n",
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" [0.729 ],\n",
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" [0.6561 ],\n",
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" [0.59049 ],\n",
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" [0.531441 ],\n",
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" [0.4782969 ],\n",
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" [0.43046721],\n",
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" [0.38742049]])"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"x2"
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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": null,
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"metadata": {},
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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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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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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": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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