{ "metadata": { "name": "", "signature": "sha256:f0d8e8412eb88fdee4b292b847a71546356cfd5d82cd3c731030f7ad5954a061" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "%pylab inline\n", "from __future__ import print_function" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "data = []\n", "with open('../shared/unrate.txt', 'r') as f:\n", " for line in f:\n", " data.append(float(line))\n", "plot(data);" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEACAYAAACj0I2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", "text": [ "" ] } ], "prompt_number": 77 }, { "cell_type": "code", "collapsed": false, "input": [ "len(data)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 78, "text": [ "819" ] } ], "prompt_number": 78 }, { "cell_type": "code", "collapsed": false, "input": [ "sr = 44100\n", "dur = 4\n", "mapping_src = [ 2, 11 ]\n", "mapping_src_range = mapping_src[1] - mapping_src[0]\n", "mapping_dst = [ 50, 5000 ]\n", "mapping_dst_range = mapping_dst[1] - mapping_dst[0]\n", "\n", "num_frames = sr * dur\n", "\n", "freq_normalized = (array(data) - mapping_src[0])/mapping_src_range\n", "freq = (freq_normalized * mapping_dst_range) + mapping_dst[0]\n", "plot(freq)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 79, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEACAYAAAC+gnFaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nvgAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 79 }, { "cell_type": "code", "collapsed": false, "input": [ "phs_mod = array(())\n", "\n", "n = 10\n", "for f in freq[:10]:\n", " phs_mod = r_[phs_mod, ones(n) * f]\n", "# print(phs)\n", "# print(\"----\")\n", "\n", "plot(phs_mod)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 80, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAEACAYAAABVtcpZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nDTioAQLLmgAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 80 }, { "cell_type": "code", "collapsed": false, "input": [ "phs_mod = array(())\n", "\n", "n = num_frames/len(data)\n", "for f in freq:\n", " phs_mod = r_[phs_mod, ones(n) * f]\n", "# print(phs)\n", "# print(\"----\")\n", "\n", "plot(phs_mod)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 81, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEACAYAAABCl1qQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 81 }, { "cell_type": "code", "collapsed": false, "input": [ "num_frames/float(len(data))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 82, "text": [ "215.3846153846154" ] } ], "prompt_number": 82 }, { "cell_type": "code", "collapsed": false, "input": [ "n" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 83, "text": [ "215" ] } ], "prompt_number": 83 }, { "cell_type": "code", "collapsed": false, "input": [ "len(phs_mod)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 84, "text": [ "176085" ] } ], "prompt_number": 84 }, { "cell_type": "code", "collapsed": false, "input": [ "num_frames" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 85, "text": [ "176400" ] } ], "prompt_number": 85 }, { "cell_type": "code", "collapsed": false, "input": [ "phs = linspace(0, 2 * pi * 440 * (len(phs_mod) * sr), len(phs_mod), endpoint=False)\n", "phs *= (phs_mod - mapping_dst[0])/mapping_dst_range" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 86 }, { "cell_type": "code", "collapsed": false, "input": [ "output = sin(phs)* 0.1\n", "\n", "from IPython.display import Audio\n", "Audio(output, rate = sr)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 87, "text": [ "" ] } ], "prompt_number": 87 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Not quite right..." ] }, { "cell_type": "code", "collapsed": false, "input": [ "plot(phs)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 88, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEGCAYAAABo25JHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text": [ "" ] } ], "prompt_number": 88 }, { "cell_type": "code", "collapsed": false, "input": [ "len(phs_mod) / float(sr)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 89, "text": [ "3.992857142857143" ] } ], "prompt_number": 89 }, { "cell_type": "markdown", "metadata": {}, "source": [ "##A short digression into python performance" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Thanks Kee!" ] }, { "cell_type": "code", "collapsed": false, "input": [ "n = num_frames/len(data)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 90 }, { "cell_type": "code", "collapsed": false, "input": [ "%%timeit\n", "phs_mod = array(())\n", "\n", "for f in freq:\n", " phs_mod = r_[phs_mod, ones(n) * f]" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "10 loops, best of 3: 67.1 ms per loop\n" ] } ], "prompt_number": 91 }, { "cell_type": "code", "collapsed": false, "input": [ "%%timeit\n", "phs0 = []\n", "\n", "for f in freq:\n", " temp = []\n", " for i in range(n):\n", " temp.append(f)\n", " phs0 += temp" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "100 loops, best of 3: 11 ms per loop\n" ] } ], "prompt_number": 92 }, { "cell_type": "code", "collapsed": false, "input": [ "%%timeit\n", "phs1 = []\n", "for f in freq:\n", " temp = [f] * n\n", " phs1 += temp" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "100 loops, best of 3: 2.1 ms per loop\n" ] } ], "prompt_number": 94 }, { "cell_type": "code", "collapsed": false, "input": [ "%%timeit\n", "\n", "phs2 = [0] * n * len(freq)\n", "\n", "for i, f in enumerate(freq):\n", " offset = i * n\n", " for j in range(n):\n", " phs2[offset + j] = f" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "100 loops, best of 3: 9.83 ms per loop\n" ] } ], "prompt_number": 95 }, { "cell_type": "code", "collapsed": false, "input": [ "%%timeit\n", "phs3 = [0] * (n * len(freq))\n", "\n", "for i in range(len(phs3)):\n", " phs3[i] = freq[i//n]" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "10 loops, best of 3: 30.3 ms per loop\n" ] } ], "prompt_number": 97 }, { "cell_type": "code", "collapsed": false, "input": [ "%%timeit\n", "phs4 = [freq[i // n] for i in range(n * len(freq))]" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "10 loops, best of 3: 29.6 ms per loop\n" ] } ], "prompt_number": 98 }, { "cell_type": "code", "collapsed": false, "input": [ "%%timeit\n", "phs_mod = zeros(len(freq) * n)\n", "\n", "index = 0\n", "for f in freq:\n", " phs_mod[index:index + n] = f\n", " index += n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "1000 loops, best of 3: 859 \u00b5s per loop\n" ] } ], "prompt_number": 101 }, { "cell_type": "code", "collapsed": false, "input": [ "phs_mod1 = array(())\n", "\n", "for f in freq:\n", " phs_mod1 = r_[phs_mod1, ones(n) * f]\n", "\n", "phs_mod2 = zeros(len(freq) * n)\n", "\n", "index = 0\n", "for f in freq:\n", " phs_mod2[index:index + n] = f\n", " index += n\n", " \n", "allclose(phs_mod1,phs_mod2)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 106, "text": [ "True" ] } ], "prompt_number": 106 }, { "cell_type": "code", "collapsed": false, "input": [ "plot(phs_mod1[:1000])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 107, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYQAAAEACAYAAACznAEdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 107 }, { "cell_type": "markdown", "metadata": {}, "source": [ "##And now back..." ] }, { "cell_type": "code", "collapsed": false, "input": [ "phs = linspace(0, 2 * pi * mean(mapping_dst) * (len(phs_mod) / float(sr)), len(phs_mod), endpoint=False)\n", "phs += phs_mod\n", "output = sin(phs)* 0.1\n", "\n", "from IPython.display import Audio\n", "Audio(output, rate = sr)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 62, "text": [ "" ] } ], "prompt_number": 62 }, { "cell_type": "code", "collapsed": false, "input": [ "phs_accum = cumsum(phs_mod)\n", "plot(phs_accum)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 63, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEGCAYAAABo25JHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nICJS5FQIRESKnAqBiEiR+38clPF9ky1q6QAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 63 }, { "cell_type": "code", "collapsed": false, "input": [ "output = sin(2 * pi * (phs_accum) / float(sr))* 0.1\n", "\n", "from IPython.display import Audio\n", "Audio(output, rate = sr)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 70, "text": [ "" ] } ], "prompt_number": 70 }, { "cell_type": "code", "collapsed": false, "input": [ "2 * pi * mean(mapping_dst) * len(phs_mod) / float(sr)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 67, "text": [ "63269.503286474523" ] } ], "prompt_number": 67 }, { "cell_type": "code", "collapsed": false, "input": [ "max(2 * pi * (phs_accum) / float(sr))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 73, "text": [ "53934.153859439466" ] } ], "prompt_number": 73 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Frequency into phase. Simple fi constant frequency:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "f = 100\n", "sr = 44100\n", "\n", "dur = 10\n", "\n", "num_samples = sr * dur\n", "\n", "phs = linspace(0, 2 * pi * f * dur , num_samples, endpoint=True)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 142 }, { "cell_type": "code", "collapsed": false, "input": [ "phs[-1]" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 143, "text": [ "6283.1853071795867" ] } ], "prompt_number": 143 }, { "cell_type": "code", "collapsed": false, "input": [ "phs_inc2 = ones(num_samples) * 2 * pi * f/float(sr)\n", "\n", "phs2 = cumsum(phs_inc2)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 144 }, { "cell_type": "code", "collapsed": false, "input": [ "phs2[-1]" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 145, "text": [ "6283.1853071126798" ] } ], "prompt_number": 145 }, { "cell_type": "code", "collapsed": false, "input": [ "phs[-1] - phs2[-1]" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 146, "text": [ "6.6906977735925466e-08" ] } ], "prompt_number": 146 }, { "cell_type": "code", "collapsed": false, "input": [ "phs2[-1]/(2 * pi * f)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 147, "text": [ "9.9999999998935145" ] } ], "prompt_number": 147 }, { "cell_type": "code", "collapsed": false, "input": [ "phs[-1]/(2 * pi * f)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 148, "text": [ "10.0" ] } ], "prompt_number": 148 }, { "cell_type": "code", "collapsed": false, "input": [ "phs_inc_mod = 2 * pi * phs_mod/float(sr)\n", "\n", "phs_inc_mod_accum = cumsum(phs_inc_mod)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 149 }, { "cell_type": "code", "collapsed": false, "input": [ "output = 0.1 * sin(phs_inc_mod_accum)\n", "Audio(output, rate = sr)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 150, "text": [ "" ] } ], "prompt_number": 150 }, { "cell_type": "code", "collapsed": false, "input": [ "plot(data);" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 151, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEACAYAAACj0I2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", "text": [ "" ] } ], "prompt_number": 151 }, { "cell_type": "code", "collapsed": false, "input": [ "from scipy.interpolate import interp1d\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 154 }, { "cell_type": "code", "collapsed": false, "input": [ "interp_phs = interp1d(range(len(freq)),freq)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 155 }, { "cell_type": "code", "collapsed": false, "input": [ "interp_phs" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 156, "text": [ "" ] } ], "prompt_number": 156 }, { "cell_type": "code", "collapsed": false, "input": [ "interp_phs(0.2)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 157, "text": [ "array(864.0)" ] } ], "prompt_number": 157 }, { "cell_type": "code", "collapsed": false, "input": [ "plot(interp_phs(linspace(0, 4, 50)), 'o')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 158, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEACAYAAAC08h1NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 158 }, { "cell_type": "code", "collapsed": false, "input": [ "interp_phs_mod = interp_phs(linspace(0, len(freq) - 1, num_frames, endpoint=False))\n", "plot(interp_phs_mod[:1000])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 163, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYQAAAEACAYAAACznAEdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 163 }, { "cell_type": "code", "collapsed": false, "input": [ "phs_inc_mod = 2 * pi * interp_phs_mod/float(sr)\n", "\n", "phs_inc_mod_accum = cumsum(phs_inc_mod)\n", "\n", "output = 0.1 *sin(phs_inc_mod_accum)\n", "Audio(output, rate = sr)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 164, "text": [ "" ] } ], "prompt_number": 164 }, { "cell_type": "code", "collapsed": false, "input": [ "interp_phs = interp1d(range(len(freq)),freq, kind='cubic')\n", "interp_phs_mod = interp_phs(linspace(0, len(freq) - 1, num_frames, endpoint=False))\n", "plot(interp_phs_mod[:1000])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 166, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYQAAAEACAYAAACznAEdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQhAREQD+P9mAYb6RYcRxAAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 166 }, { "cell_type": "code", "collapsed": false, "input": [ "phs_inc_mod = 2 * pi * interp_phs_mod/float(sr)\n", "\n", "phs_inc_mod_accum = cumsum(phs_inc_mod)\n", "\n", "output = 0.1 *sin(phs_inc_mod_accum)\n", "Audio(output, rate = sr)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 167, "text": [ "" ] } ], "prompt_number": 167 }, { "cell_type": "markdown", "metadata": {}, "source": [ "By: Andr\u00e9s Cabrera mantaraya36@gmail.com\n", "\n", "For Course MAT 240F at UCSB\n", "\n", "This ipython notebook is licensed under the CC-BY-NC-SA license: http://creativecommons.org/licenses/by-nc-sa/4.0/\n", "\n", "![http://i.creativecommons.org/l/by-nc-sa/3.0/88x31.png](http://i.creativecommons.org/l/by-nc-sa/3.0/88x31.png)" ] } ], "metadata": {} } ] }