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Diffstat (limited to 'Basic_Electronics_and_Linear_Circuits/ch6.ipynb')
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diff --git a/Basic_Electronics_and_Linear_Circuits/ch6.ipynb b/Basic_Electronics_and_Linear_Circuits/ch6.ipynb deleted file mode 100755 index abbcf8b9..00000000 --- a/Basic_Electronics_and_Linear_Circuits/ch6.ipynb +++ /dev/null @@ -1,197 +0,0 @@ -{ - "metadata": { - "name": "", - "signature": "sha256:e45efbc918d6e082147a3abf5687f38acaf875f9fd899adb5638679d888fbdcb" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Chapter 6: Vaccum Tubes" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example 6.1 Page no.195" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "\n", - "from pylab import *\n", - "#Given Circuit Data\n", - "V=[0,0.5,1,1.5,2] #V, voltage\n", - "I=[0,1.6,4,6.7,9.4] #mA, current\n", - "\n", - "#Calculation\n", - "dVp=0.5 #V, change in plate voltage\n", - "dIp=2.7*10**(-3) #A, change in plate current\n", - "rp=dVp/dIp # Dynamic Plate Resistance\n", - "\n", - "#Result\n", - "print \"The Dynamic Plate Resistance is rp= \",rp,\"ohm\"\n", - "\n", - "#plot\n", - "\n", - "a=plot(V,I)\n", - "xlabel(\"V\") \n", - "ylabel(\"I (mA)\") \n", - "\n", - "show(a)\n", - "\n" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "The Dynamic Plate Resistance is rp= 185.185185185 ohm\n" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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- } - ], - "prompt_number": 3 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example 6.2 Page no.202" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "from math import *\n", - "from pylab import *\n", - "#Calculation\n", - "dip=(14.0-10.7)*10**(-3) #A\n", - "dvp=20 #V\n", - "rp=dvp/dip\n", - "diP=(12.4-5.3)*10**(-3) #A\n", - "dvG=1 #V\n", - "gm=diP/dvG\n", - "u=gm*rp\n", - "ut=(192-150)/1\n", - "\n", - "# Result\n", - "print \" The Plate AC Resistance is rp= \",round(rp/10**(3),2),\"kohm\"\n", - "print \" The Mutual Conductance is gm= \",gm/10**(-3),\"mS\"\n", - "print \" The Graphical Amplification Factor is u= \",round(u,2)\n", - "print \" The Theoretical Amplification Factor is ut= \",ut\n", - "\n", - "\n", - "#plot\n", - "#At Vg=0\n", - "V1=[0,50,100,150]\n", - "I1=[0,3.5,11.2,20.0]\n", - "\n", - "#at Vg=-1\n", - "V2=[60,100,150,200]\n", - "I2=[0,4,12.4,21.5]\n", - "\n", - "\n", - "#at Vg=-2\n", - "V3=[100,150,200]\n", - "I3=[0,5.4,14.1]\n", - "\n", - "#at Vg=-3\n", - "V4=[160,200,250]\n", - "I4=[0,3.4,12.4]\n", - "\n", - "#at Vg=-4\n", - "V5=[220,250,300]\n", - "I5=[0,2.5,11.3]\n", - "\n", - "figure(1)\n", - "import numpy \n", - "import pylab\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(111)\n", - "\n", - "\n", - "a1=plot(V1,I1)\n", - "a2=plot(V2,I2)\n", - "a3=plot(V3,I3)\n", - "a4=plot(V4,I3)\n", - "a5=plot(V5,I4)\n", - "xlabel(\"Vp (V)\") \n", - "ylabel(\"Ip(mA)\") \n", - "ax.annotate('vg=0', xy=(152,21),\n", - " arrowprops=dict(facecolor='black', shrink=0.5),\n", - " )\n", - "ax.annotate('vg=-1', xy=(200,21.5), \n", - " arrowprops=dict(facecolor='black', shrink=0.5),\n", - " )\n", - "ax.annotate('vg=-2', xy=(200,14.1), \n", - " arrowprops=dict(facecolor='black', shrink=0.5),\n", - " )\n", - "ax.annotate('vg=-3', xy=(250,12.4),\n", - " arrowprops=dict(facecolor='black', shrink=0.5),\n", - " )\n", - "ax.annotate('vg=-4',xy=(300,11.3), \n", - " arrowprops=dict(facecolor='black', shrink=0.5),\n", - " )\n", - "show(a1)\n", - "show(a2)\n", - "show(a3)\n", - "show(a4)\n", - "show(a5)\n", - "\n", - "\n" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - " The Plate AC Resistance is rp= 6.06 kohm\n", - " The Mutual Conductance is gm= 7.1 mS\n", - " The Graphical Amplification Factor is u= 43.03\n", - " The Theoretical Amplification Factor is ut= 42\n" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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3bLmHFpi7zLWjwf1yPbNPeYxGjRopRqMx++9Go1Fp1KjR4/7ZE8lFLGGBjh9X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\no3MXL6q9M+vWgd5///+8+Cc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