{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## 2015/4/14 回答同學之疑問\n", "\n", "問題:y[n]=(x[n])^n 比較delay前後之差別" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 89, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAEKCAYAAAAyx7/DAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nNeb/AL5Cq+HQ1lIHAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "n=np.arange(6)\n", "x=np.array([0,1,2,3,4,0])\n", "plt.figure(1)\n", "plt.stem(n,x)\n", "plt.xlim((-2,7))\n", "plt.ylim((0,10))\n", "plt.title('x[n]')\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##第一種情形\n", "###先將 x delay " ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAEKCAYAAAAyx7/DAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ne+98i1fN/QAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "n=np.arange(6)\n", "x_n_minus_n0=np.array([0,0,1,2,3,4,])\n", "plt.figure(1)\n", "plt.stem(n,x_n_minus_n0)\n", "plt.xlim((-2,7))\n", "plt.ylim((0,10))\n", "plt.title('x[n-n0]')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "再送入系統" ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[0 1 2 3 4 5]\n", "[ 1 0 1 8 81 1024]\n" ] } ], "source": [ "w=x_n_minus_n0**n\n", "#plt.stem(n,y)\n", "print n\n", "print w" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 第二種情形\n", "###先送入 x 再將 y delay " ] }, { "cell_type": "code", "execution_count": 94, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "n\n", "[0 1 2 3 4 5]\n", "x\n", "[0 1 2 3 4 0]\n", "x_n_minus_n0\n", "[0 0 1 2 3 4]\n", "w\n", "[ 1 0 1 8 81 1024]\n", "y\n", "[ 1 1 4 27 256 0]\n", "y_n_minus_n0\n", "[ 0 1 1 4 27 256 0]\n" ] } ], "source": [ "y=x**n\n", "y_n_minus_n0=np.insert(y,0,0)\n", "print 'n'\n", "print n\n", "print 'x'\n", "print x\n", "print 'x_n_minus_n0'\n", "print x_n_minus_n0\n", "print 'w'\n", "print w\n", "print 'y'\n", "print y\n", "print 'y_n_minus_n0'\n", "print y_n_minus_n0\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "結論:\n", "w[n] ==> 第3個時間點為8,是x[2]的3次方\n", "y[n-1] ==> 第3個時間點為4,是x[2]的2次方\n", "或許能回答你的問題" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.9" } }, "nbformat": 4, "nbformat_minor": 0 }