{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "#CHAPTER 1: INTRODUCTION" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example 1.1, Page Number: 18" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": [ "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEZCAYAAABrUHmEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n", "AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xe8HVW9/vHPQ1NEBBEI1RupEkCKEiJcJCB6EzoYhSDS\n", "EREE6SUgQTqidBTpCJemqCihBH6ACBiKVCX0+EOIKEiUplK+94+ZkJPklH32nr3XzOzn/Xrxytnn\n", "zJl5spic79lrzVpLEYGZmVkj5kgdwMzMqsNFw8zMGuaiYWZmDXPRMDOzhrlomJlZw1w0zMysYS4a\n", "Zm0gaQ9Jp/bz9c0kXdnJTGZFkOdpmBVL0jzA08DaETFV0lDgWWCuiHivx3GPAttFxKNJgpo1we80\n", "zIq3BfB4REyd5fOa5fUVwNc7E8msGC4aZk2QtKykVyStkb9eQtJfJa0PjAbu6HH4b/I/p0l6TdLa\n", "+es7gE06l9qsdS4aZk2IiGeAQ4DLJM0LXARcHBF3AKsAT/Q4fL38zwUiYv6ImJS/fhwYKunDncpt\n", "1ioXDbMmRcT5ZGMX9wJDgHH5lxYEXutx6KzdUtNNP2bBtgQ0awMXDbPWnA+sDJwZEW/nn3sV+EgD\n", 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Declaration\n", "t=numpy.arange(-1.0,1.0,0.01) #Time Base\n", "x=numpy.zeros(numpy.size(t))\n", "y1=numpy.zeros(numpy.size(t))\n", "y2=numpy.zeros(numpy.size(t))\n", "for i in range(0,numpy.size(t)):\n", " \n", " x[i]=math.sin(math.pi*t[i]) #x(t), T is assumed to be 1 \n", " y1[i]=math.sin(-math.pi*t[i]) #y1=x(-t)\n", " y2[i]=-math.sin(math.pi*t[i]) #y2=-x(t)\n", "\n", " \n", "# Plots\n", "#To plot x(t)\n", "plt.plot(t,x)\n", "plt.title('x(t)')\n", "plt.xlabel('t')\n", "plt.ylabel('x(t)')\n", "plt.grid(True)\n", "plt.show()\n", "\n", "#To plot x(-t)\n", "plt.plot(t,y1)\n", "plt.title('x(-t)')\n", "plt.xlabel('t')\n", "plt.ylabel('x(-t)')\n", "plt.grid(True)\n", "plt.show()\n", "\n", "#To plot -x(t)\n", "plt.plot(t,y2)\n", "plt.title('-x(t)')\n", "plt.xlabel('t')\n", "plt.ylabel('-x(t)')\n", "plt.grid(True)\n", "plt.show()\n", "\n", "#Result\n", "print \"As x(-t)=-x(t), x(t) is an odd signal\"\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example 1.2, Page Number: 19" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": [ "iVBORw0KGgoAAAANSUhEUgAAAZIAAAEZCAYAAAC99aPhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n", "AAALEgAACxIB0t1+/AAAH5BJREFUeJzt3Xm0XGWd7vHvk0QGBRkuCiFEghiEgJchSmhbJTRCB1EC\n", "V2kCbQuCt7mkFQeuImg73G6H0FcG9YKtiAdU5kkQEKIScWGTiBI7ChFQoiSEKcztlMDv/rH3geJQ\n", "dU6dU7vq3e+p57NWrVP73buqnlRWzi/7/e1BEYGZmdlYTUgdwMzM8uZCYmZmHXEhMTOzjriQmJlZ\n", "R1xIzMysIy4kZmbWERcSs4QkHSvptGHWv03Shb3MZDZa8nkkZmlIWg+4G5gVEaslTQN+C0yKiGca\n", "tlsGHBERy5IENRuB90jM0pkL3BERq4eMa8jyBcA/9iaS2ei5kJh1kaTtJa2RtHu5vLWkByXtDRwA\n", "/Khh85vKn49JelLSrHL5R8CBvUttNjouJGZdFBG/AU4EviVpQ+AbwEBE/AjYBfh1w+ZvLH9uEhEb\n", "R8TicvkOYJqkjXqV22w0XEjMuiwizqbohSwBtgQ+Vq7aFHiyYdOhU1qDBrfZtCsBzTrkQmLWG2cD\n", "OwNfioi15dijwEvbeO3G5c/HuhHMrFMuJGZdVk5JnU5RTD4tabNy1X8COzRs2uoQyp2AFRHxVPdS\n", "mo2dC4lZ950BLImIfwSuAb5Sjl8L7N2w3UPAM8D2Q16/d7mtWS25kJh1kaS5wP7AceXQh4A9JB0O\n", 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Component\n", "\n", "#Results\n", "\n", "#To plot x(t)\n", "plt.plot(t,x)\n", "plt.title('x(t)')\n", "plt.xlabel('t')\n", "plt.ylabel('x(t)')\n", "plt.grid(True)\n", "plt.show()\n", "\n", "#To plot x_e(t)\n", "plt.plot(t,x_e)\n", "plt.title('Even Component of x(t)')\n", "plt.xlabel('t')\n", "plt.ylabel('x_e(t)')\n", "plt.grid(True)\n", "plt.show()\n", "\n", "#To plot x_o(t)\n", "plt.plot(t,x_o)\n", "plt.title('Odd Component of x(t)')\n", "plt.xlabel('t')\n", "plt.ylabel('x_o(t)')\n", "plt.grid(True)\n", "plt.show()\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##Example 1.3, Page Number: 29" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": [ "iVBORw0KGgoAAAANSUhEUgAAAYEAAAEZCAYAAABxbJkKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n", "AAALEgAACxIB0t1+/AAAFohJREFUeJzt3X+MZXV5x/H3g4DaimBqhALbbmJBpaUFfwBBKJtUDawV\n", "LNEI2iiaVmKz1ipt/QFam2qqNbGIkkqjuKIVTJUQqFBijKhYAwgsYllQ1G3BH6DCEpAaQZ7+MWec\n", 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"\n", "t3=numpy.arange(-2.0,1.0,0.01) \n", "plt.plot(t3,x1)\n", "plt.xlabel('t')\n", "plt.ylabel('x(-t)')\n", "plt.title('Reflection of x(t)')\n", "plt.ylim(0,2)\n", "plt.xlim(-3,3)\n", "plt.grid(True)\n", "plt.show() \n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example 1.4, Page Number: 29" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": [ "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEZCAYAAACQK04eAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n", "AAALEgAACxIB0t1+/AAAFu1JREFUeJzt3X+sZHV5x/H3g4i1imK0osDWbRCsoCmCwa0G2aZiYFWo\n", "qUaxRtFYN1pao4lSf7SxrY01/UPA0ooVXImpkEpDQDBoUvFng6Kga11UqtuAIrbAWn7UCOXpHzPL\n", "uXu5d/fM3Z3zfWbm/UrM3rlz7r2Pnxye++wz58xGZiJJWhz7tS5AkjQsG78kLRgbvyQtGBu/JC0Y\n", "G78kLRgbvyQtGBu/tAYRsTkiPrib518SERcPWZPUV3gdvzSZiDgAuAl4TmbeGhHrgR8C+2fmA0uO\n", "2wq8KjO3NilUWoUTvzS504BtmXnrss/HssefBN44TElSfzZ+aQURcXhE3B4Rzxo/PiQifhYRJwKn\n", 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as plt\n", "import numpy\n", "%matplotlib inline\n", "\n", "#Variable Declaration\n", "#x(t)\n", "t=numpy.arange(-2.5,2.5,0.01)\n", "x=numpy.zeros(500)\n", "for i in range(200,300):\n", " x[i]=1\n", "\n", "#y(t)=x(t-2)\n", "y=numpy.zeros(500)\n", "for i in range(400,500):\n", " y[i]=1\n", "\n", "#Plots\n", "plt.plot(t,x)\n", "plt.xlabel('t')\n", "plt.ylabel('x(t)')\n", "plt.title('x(t)')\n", "plt.ylim(0,2)\n", "plt.xlim(-2.5,2.5)\n", "plt.grid(True)\n", "plt.show()\n", "\n", "plt.plot(t,y)\n", "plt.xlabel('t')\n", "plt.ylabel('y(t)')\n", "plt.title('y(t)=x(t-2)')\n", "plt.ylim(0,2)\n", "plt.xlim(-2.5,2.5)\n", "plt.grid(True)\n", "plt.show()\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example 1.5, Page Number: 31" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": [ "iVBORw0KGgoAAAANSUhEUgAAAYEAAAEZCAYAAABxbJkKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n", 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"plt.ylabel('x(t)')\n", "plt.title('x(t)')\n", "plt.ylim(0,2)\n", "plt.xlim(-4,4)\n", "plt.grid(True)\n", "plt.show()\n", "\n", "#To plot x(t+3)\n", "plt.plot(t1,v,'b')\n", "plt.xlabel('t')\n", "plt.ylabel('v(t)')\n", "plt.title('x(t+3)')\n", "plt.ylim(0,2)\n", "plt.xlim(-4,4)\n", "plt.grid(True)\n", "plt.show()\n", "\n", "#To plot y(t)\n", "plt.plot(t1,y,'b')\n", "plt.xlabel('t')\n", "plt.ylabel('y(t)')\n", "plt.title('y(t)=x(2t+3)')\n", "plt.ylim(0,2)\n", "plt.xlim(-4,4)\n", "plt.grid(True)\n", "plt.show()\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example 1.6, Page Number: 33" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": [ "iVBORw0KGgoAAAANSUhEUgAAAYkAAAEZCAYAAABiu9n+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n", "AAALEgAACxIB0t1+/AAAFUpJREFUeJzt3XuQZGV5x/HvEwiFBhM1MSCyZlExKsQgKq5Yxo2iLquB\n", "WF6QxFKwMJQGtKKVAJKKJv8o5sbNKgmIQGmiCbEolAXFuK1WeQHkIgjIRTYsKGg0oAQvXJ780Wdh\n", 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"n2=numpy.arange(-2,9,1)\n", "plt.stem(n2,x)\n", "plt.xlabel('n')\n", "plt.ylabel('v[n]')\n", "plt.title('v[n]=x[n+3]')\n", "plt.xlim(-2,6)\n", "plt.grid(True)\n", "plt.show()\n", "\n", "n3=numpy.arange(-6.0,5.0,1)\n", "plt.stem(n3,x1)\n", "plt.xlabel('n')\n", "plt.ylabel('y[n]')\n", "plt.title('y[n]=x[2n+3]')\n", "plt.grid(True)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example 1.7, Page Number: 38" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The common fundamental period is 2.0\n", "Therefore, output signal is:\n", "y[n]= 2.0 cos(5*pi*n -0.52 )\n" ] } ], "source": [ "import numpy\n", "import math\n", "\n", "#Variable Declaration\n", "A1=-1 #Amplitude of x1 (in terms of cos)\n", "A2=math.sqrt(3) #Amplitude of x2\n", "\n", "#Calculation\n", "\n", "#To find angular frequency\n", "m=1 #Initialise m to 1\n", "while((m*2.0/5!=int(m*2.0/5))): #To find smallest integer value \n", " m=m+1\n", "\n", "\n", "N=2*m*math.pi/(5*math.pi)\n", "\n", "#To find amplitude and phase angle\n", "phi=math.atan(A1/A2) #Phase angle in radians\n", "A=-1/math.sin(phi) #Amplitude\n", "\n", "#Results\n", "\n", "print \"The common fundamental period is\",N\n", "print \"Therefore, output signal is:\"\n", "print \"y[n]=\",A,\"cos(5*pi*n\",round(phi,2),\")\"\n", "\n", "\n" ] } ], "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 }