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| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": null, |
| 6 | + "id": "77fc3672", |
| 7 | + "metadata": {}, |
| 8 | + "outputs": [], |
| 9 | + "source": [ |
| 10 | + "import matplotlib.pyplot as plt\n", |
| 11 | + "import numpy as np\n", |
| 12 | + "import sfs\n", |
| 13 | + "from matplotlib import animation\n", |
| 14 | + "from IPython.display import HTML\n", |
| 15 | + "from functools import partial\n", |
| 16 | + "from scipy.signal import unit_impulse\n", |
| 17 | + "\n", |
| 18 | + "\n", |
| 19 | + "# Point source\n", |
| 20 | + "xs = 0, 2, 0\n", |
| 21 | + "rs = np.linalg.norm(xs) # distance from origin\n", |
| 22 | + "ts = rs / sfs.default.c # time-of-arrival at origin\n", |
| 23 | + "\n", |
| 24 | + "# Impulsive excitation\n", |
| 25 | + "fs = 8000 # Adjust this to change the shape (width) of the impulse\n", |
| 26 | + "signal = unit_impulse(512), fs # Band-limited pulse (e.g. sinc) can be used instead\n", |
| 27 | + "\n", |
| 28 | + "# Circular loudspeaker array\n", |
| 29 | + "N = 32 # number of loudspeakers\n", |
| 30 | + "R = 1.5 # radius\n", |
| 31 | + "array = sfs.array.circular(N, R)\n", |
| 32 | + "\n", |
| 33 | + "grid = sfs.util.xyz_grid([-2, 2], [-2, 2], 0, spacing=0.02)\n", |
| 34 | + "\n", |
| 35 | + "delays, weights, selection, secondary_source = \\\n", |
| 36 | + " sfs.td.wfs.point_25d(array.x, array.n, xs)\n", |
| 37 | + "d = sfs.td.wfs.driving_signals(delays, weights, signal)" |
| 38 | + ] |
| 39 | + }, |
| 40 | + { |
| 41 | + "cell_type": "code", |
| 42 | + "execution_count": null, |
| 43 | + "id": "e3560c30", |
| 44 | + "metadata": { |
| 45 | + "scrolled": false |
| 46 | + }, |
| 47 | + "outputs": [], |
| 48 | + "source": [ |
| 49 | + "# Animation\n", |
| 50 | + "def plot(d, selection, secondary_source, t=0, ax=None, **kw):\n", |
| 51 | + " p = sfs.td.synthesize(d, selection, array, secondary_source, grid=grid,\n", |
| 52 | + " observation_time=t)\n", |
| 53 | + " im = sfs.plot2d.amplitude(p, grid, ax=ax, **kw)\n", |
| 54 | + " sfs.plot2d.loudspeakers(array.x, array.n, selection * array.a, size=0.15)\n", |
| 55 | + " return im\n", |
| 56 | + "\n", |
| 57 | + "def update_frame_pressure(i, time_stamps):\n", |
| 58 | + " t_i = time_stamps[i]\n", |
| 59 | + " p = sfs.td.synthesize(d, selection, array, secondary_source, grid=grid,\n", |
| 60 | + " observation_time=t_i)\n", |
| 61 | + " im.set_array(p)\n", |
| 62 | + " return [im]\n", |
| 63 | + "\n", |
| 64 | + "\n", |
| 65 | + "time_stamps = np.linspace(0.5/343, 5/343, 100) # Time sampling is different from fs defined above\n", |
| 66 | + "frames = 100\n", |
| 67 | + "interval = 150\n", |
| 68 | + "\n", |
| 69 | + "\n", |
| 70 | + "fig, ax = plt.subplots(figsize=(5, 5))\n", |
| 71 | + "p = sfs.td.synthesize(d, selection, array, secondary_source, grid=grid,\n", |
| 72 | + " observation_time=0)\n", |
| 73 | + "im = plot(d, selection, secondary_source, t=ts, ax=ax, vmin=-0.01, vmax=0.01)\n", |
| 74 | + "\n", |
| 75 | + "ani = animation.FuncAnimation(\n", |
| 76 | + " fig, partial(update_frame_pressure, time_stamps=time_stamps),\n", |
| 77 | + " frames=frames, interval=interval, blit=True)\n", |
| 78 | + "plt.close()\n", |
| 79 | + "HTML(ani.to_jshtml())" |
| 80 | + ] |
| 81 | + }, |
| 82 | + { |
| 83 | + "cell_type": "code", |
| 84 | + "execution_count": null, |
| 85 | + "id": "9f77a060", |
| 86 | + "metadata": {}, |
| 87 | + "outputs": [], |
| 88 | + "source": [ |
| 89 | + "# Save as gif file - This might take a few minutes.\n", |
| 90 | + "ani.save(\"wfs-25d-td.gif\", writer='imagemagick',fps=10, dpi=200)" |
| 91 | + ] |
| 92 | + } |
| 93 | + ], |
| 94 | + "metadata": { |
| 95 | + "kernelspec": { |
| 96 | + "display_name": "Python 3 (ipykernel)", |
| 97 | + "language": "python", |
| 98 | + "name": "python3" |
| 99 | + }, |
| 100 | + "language_info": { |
| 101 | + "codemirror_mode": { |
| 102 | + "name": "ipython", |
| 103 | + "version": 3 |
| 104 | + }, |
| 105 | + "file_extension": ".py", |
| 106 | + "mimetype": "text/x-python", |
| 107 | + "name": "python", |
| 108 | + "nbconvert_exporter": "python", |
| 109 | + "pygments_lexer": "ipython3", |
| 110 | + "version": "3.9.5" |
| 111 | + } |
| 112 | + }, |
| 113 | + "nbformat": 4, |
| 114 | + "nbformat_minor": 5 |
| 115 | +} |
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