{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 5: Signals and Data Transmission"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 5.1, Page 71"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An 8-bit word can take 2^8 = 256 values\n",
      "\n",
      "An 16-bit word can take 2^16 = 65536 values\n",
      "\n",
      "An 32-bit word can take 2^32 = 4.000000 x 10^9 values\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "#Initialisation\n",
    "n=8                                 #8 bit\n",
    "n2=16                               #16 bit\n",
    "n3=32                               #32 bit\n",
    "\n",
    "#Calculation\n",
    "c=2**n                               #value for 8 bit\n",
    "c2=2**n2                             #value for 16 bit\n",
    "c3=2**n3                             #value for 32 bit\n",
    "\n",
    "#Result\n",
    "print'An 8-bit word can take 2^8 = %d values\\n'%c\n",
    "print'An 16-bit word can take 2^16 = %d values\\n'%c2\n",
    "print'An 32-bit word can take 2^32 = %f x 10^9 values\\n'%(c3/10**9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 5.2, Page 71"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An 8-bit word resolution = 0.39 percent\n",
      "\n",
      "An 16-bit word resolution = 0.0015 percent\n",
      "\n",
      "An 32-bit word resolution = 0.000000023 percent\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "#Initialisation\n",
    "n=8                                 #8 bit\n",
    "n2=16                               #16 bit\n",
    "n3=32                               #32 bit\n",
    "\n",
    "\n",
    "#Calculation\n",
    "c=2**n                               #value for 8 bit\n",
    "p=(1*c**-1)*100                      #percent\n",
    "c2=2**n2                             #value for 16 bit\n",
    "p2=(1*c2**-1)*100                      #percent\n",
    "c3=2**n3                             #value for 32 bit\n",
    "p3=(1*c3**-1)*100                      #percent\n",
    "\n",
    "#Result\n",
    "print'An 8-bit word resolution = %.2f percent\\n'%p\n",
    "print'An 16-bit word resolution = %.4f percent\\n'%p2\n",
    "print'An 32-bit word resolution = %.9f percent\\n'%p3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 5.3, Page 73"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jvr4+uru7Aejq6qKnp4fe3l7gtUHl5daWBwYGkopnvC8PrkslHi937nJ/fz+LFy8G2Px9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\n8qp7rMXCBAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x8ee1f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import math\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#data\n",
    "x = np.linspace(0, 3, 1)\n",
    "y=2\n",
    "\n",
    "#plotting\n",
    "\n",
    "plt.bar(1, y, 0.001*max(x))\n",
    "\n",
    "\n",
    "xlabel(\"Frequency in kHz\")\n",
    "ylabel(\"Voltage\")\n",
    "title(\"Frequency Spectrum\")\n",
    "plt.axis([0, 2, 0, 3])\n",
    "plt.grid()\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 5.4, Page 73"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x8b6bd30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import math\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#data\n",
    "x = np.linspace(0, 3, 1)\n",
    "y=2\n",
    "y1=1\n",
    "\n",
    "#plotting\n",
    "plt.bar(1, y, 0.001*max(x))\n",
    "plt.bar(1.5, y1, 0.001*max(x))\n",
    "\n",
    "\n",
    "xlabel(\"Frequency in kHz\")\n",
    "ylabel(\"Voltage\")\n",
    "title(\"Frequency Spectrum\")\n",
    "plt.axis([0, 2, 0, 3])\n",
    "plt.grid()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 5.5, Page 74"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bandwidth = 7.0 kHz\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "#Initialisation\n",
    "f1=7000                         #Human Speech Frequency Upper limit in HZ\n",
    "f2=50                         #Human Speech Frequency Lower limit in Hz\n",
    "\n",
    "#Calculation\n",
    "B=f1-f2                            #Bandwidth in Hz\n",
    "\n",
    "#Result\n",
    "print'Bandwidth = %.1f kHz'%(B*1000**-1)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}