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This file contains figures from the book: Information Theory A Tutorial Introduction by Dr James V Stone 2015 Sebtel Press. Copyright JV Stone. These figures are released for use under the Creative Commons License specified on next slide. A copy of this file can be obtained from http://jim-stone.staff.shef.ac.uk/BookInfoTheory2013/InfoTheoryBookFigures.html
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Chapter 1
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A B D 0 1 1 = 3 0 0 0 = 0 0 0 1 = 1 0 1 0 = 2 1 0 0 = 4 1 0 1 = 5 1 1 0 = 6 1 1 1 = 7 C ----- -- ----- Left Right 0 1 0 0 1 1 1 1 1 1 0 0 0 0
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0 1 1 = 3 0 0 0 = 0 0 0 1 = 1 0 1 0 = 2 1 0 0 = 4 1 0 1 = 5 1 1 0 = 6 1 1 1 = 7 Fish Bird Dog Car Van Truck Bus No Yes Q1 Q2 Q3 Cat
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Chapter 2
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Random variable X Experiment Coin flip Outcome = head Mapping X(head) = 1 Random variable X Experiment Coin flip Outcome = tail Mapping X(tail) = 0
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Output y Noise Channel Encoder x = g(s) Data s Decoder Input x
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Chapter 3
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Noise Channel Encoder Data Decoder Input Output X
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A0.87 B0.04 C0.04 D0.03 E0.02 0.08 0.05 0.13 1.00 0 1 1 0 1 1 0 0
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from xkcd.com
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From xkcd.com
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Chapter 4
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Output y Noise Channel Encoder x = g(s) Data s Decoder Input x
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a b c
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H(Y) H(X) I(X,Y) H(Y|X) H(X|Y) H(X,Y)
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H(Y) H(X) I(X,Y) H(Y|X) H(X|Y) H(X,Y)
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2 H(Y|X) 2 H(X|Y) Number of outputs = 2 H(Y) Number of inputs = 2 H(X) Number of possible outputs for one input = 2 H(Y|X) Number of possible inputs for one output = 2 H(X|Y) Inputs X Outputs Y
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Output entropy H(Y) Mutual information I(X,Y) Output noise entropy H(Y|X) Input entropy H(X) Mutual information I(X,Y) Input noise entropy H(X|Y) (a) (b)
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ABCDEFGHIABCDEFGHI B E H
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Chapter 5
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Residual uncertainty Residual uncertainty Residual uncertainty b) After receiving 1 bit, U=50% a) After receiving 2 bits, U=25% c) After receiving 1/2 a bit, U=71%
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Noise Channel Encoder Data Decoder Input Output
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Chapter 6
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Output y Noise Channel Encoder x = g(s) Data s Decoder Input x
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H(Y) H(X) I(X,Y) H(Y|X) H(X|Y) H(X,Y)
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Chapter 7
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Chapter 8
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Warm AB
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ColdHot AB
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Chapter 9
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a b c d e
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83 Blue-Yellow channel Luminance channel Red-Green channel S-cone M-cone L-cone
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THE END.
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