1 of 85

2 of 85

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

3 of 85

4 of 85

Chapter 1

5 of 85

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

6 of 85

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

Yes

Yes

Q1

Q2

Q3

Cat

7 of 85

8 of 85

9 of 85

10 of 85

11 of 85

Chapter 2

12 of 85

Random variable X

Experiment

Coin flip

Outcome

= head

Mapping

X(head) = 1

Random variable X

Experiment

Coin flip

Outcome

= tail

Mapping

X(tail) = 0

13 of 85

14 of 85

15 of 85

Output y

Noise η

Channel

Encoder

x = g(s)

Data s

Data s

Decoder

Input x

16 of 85

17 of 85

18 of 85

19 of 85

20 of 85

21 of 85

Chapter 3

22 of 85

Noise

Channel

Encoder

Data

Data

Decoder

Input

Output

X

23 of 85

24 of 85

25 of 85

A 0.87

B 0.04

C 0.04

D 0.03

E 0.02

0.08

0.05

0.13

1.00

0

1

1

0

1

1

0

0

26 of 85

from xkcd.com

27 of 85

28 of 85

29 of 85

30 of 85

31 of 85

From xkcd.com

32 of 85

Chapter 4

33 of 85

Output y

Noise η

Channel

Encoder

x = g(s)

Data s

Data s

Decoder

Input x

34 of 85

35 of 85

a

b

c

36 of 85

H(Y)

H(X)

I(X,Y)

H(Y|X)

H(X|Y)

H(X,Y)

37 of 85

H(Y)

H(X)

I(X,Y)

H(Y|X)

H(X|Y)

H(X,Y)

38 of 85

39 of 85

2H(Y|X)

2H(X|Y)

Number of

outputs = 2H(Y)

Number of

inputs = 2H(X)

Number of possible outputs

for one input = 2H(Y|X)

Number of possible inputs

for one output = 2H(X|Y)

Inputs X

Outputs Y

40 of 85

41 of 85

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)

42 of 85

43 of 85

44 of 85

A

B

C

D

E

F

G

H

I

B

E

H

45 of 85

46 of 85

Chapter 5

47 of 85

48 of 85

49 of 85

50 of 85

51 of 85

52 of 85

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%

53 of 85

54 of 85

Noise

Channel

Encoder

Data

Data

Decoder

Input

Output

55 of 85

Chapter 6

56 of 85

Output y

Noise η

Channel

Encoder

x = g(s)

Data s

Data s

Decoder

Input x

57 of 85

58 of 85

59 of 85

60 of 85

61 of 85

62 of 85

63 of 85

H(Y)

H(X)

I(X,Y)

H(Y|X)

H(X|Y)

H(X,Y)

64 of 85

Chapter 7

65 of 85

66 of 85

67 of 85

68 of 85

69 of 85

70 of 85

71 of 85

Chapter 8

72 of 85

73 of 85

74 of 85

75 of 85

76 of 85

Warm

Warm

A

B

77 of 85

Cold

Hot

A

B

78 of 85

Chapter 9

79 of 85

80 of 85

81 of 85

a

b

c

d

e

82 of 85

82

83 of 85

83

Blue-Yellow

channel

Luminance

channel

Red-Green

channel

S-cone

M-cone

L-cone

84 of 85

85 of 85

THE END.