lasp/examples/Test SeriesBiquad.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from lasp import SeriesBiquad\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-09-03 17:21:46+0200 DebugTrace-cpp 2.0.0a2 (g++ 12.2.0)\n",
      "2022-09-03 17:21:46+0200 \n",
      "2022-09-03 17:21:46+0200 Enter SeriesBiquad (lasp_biquadbank.cpp: 12)\n",
      "2022-09-03 17:21:46+0200 Leave SeriesBiquad (lasp_biquadbank.cpp)\n"
     ]
    }
   ],
   "source": [
    "coefs = np.array([1.,0,0,1.,-.9,0])\n",
    "bq = SeriesBiquad(coefs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-09-03 17:21:47+0200 \n",
      "2022-09-03 17:21:47+0200 Enter filter (lasp_biquadbank.cpp: 44)\n",
      "2022-09-03 17:21:47+0200 Leave filter (lasp_biquadbank.cpp)\n"
     ]
    }
   ],
   "source": [
    "x = np.zeros(10, dtype=float)\n",
    "x[0] = 1\n",
    "\n",
    "x2 = bq.filter(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        ],\n",
       "       [0.9       ],\n",
       "       [0.81      ],\n",
       "       [0.729     ],\n",
       "       [0.6561    ],\n",
       "       [0.59049   ],\n",
       "       [0.531441  ],\n",
       "       [0.4782969 ],\n",
       "       [0.43046721],\n",
       "       [0.38742049]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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