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The binary errors-and-erasures channel is given by (1)Find the capacity (2)Speci

The binary errors-and-erasures channel is given by (1)Find the capacity (2)Specialize to erasures only(ε=0) (3)Specialize to the binary symmetric channel(ρ=0) (4)Would you prefer a binary symmetric channel with crossover probability=0.125 or a simple erasure channel with probability of erasure=0.5?

The binary errors-and-erasures channel is given by

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第1题

Using Venn diagrcuns(维拉图),we can see that mutual information common to three random var

iable X,Y and Z should be defined by I(X;Y;Z)=I(X;Y) - I(X;Y|Z) This quantity is symmetric in X,Y and Z,despite the preceding asymmetric define.Unfortunately,I(X;Y;Z)is not nesessarily nonnegative.Find X,Y,Z such that I(X;Y;Z)<0,and Prove the following two identities: I(X;Y;Z)=H(XYZ) - H(X) - H(Y) - H(Z)+I(X;Y)+I(Y;Z)+I(Z;X) I(X;Y;Z)=H(XYZ) - H(XY) - H(YZ) - H(ZX)+H(X)+H(Y)+H(Z) The first identity can be understood using the Venn diargram analogy for entropy and mutual lnlormatlon.The second identity follows easily from the first.

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第2题

Conditional mutual information.Consider a sequences of N binary random variables X1,X2,…,X

N.Each sequences an even number of 1’S has probabilitv 2-(N-1) and each sequences with an odd number of 1’s has probability zero.Find the average mutual informations I(X1;X2),I(X3;X2|X1),…,I(XN;XN-1|X1X2…XN-2) Check your result for N=3.

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第3题

有一信源输出X∈{0,1,2},其概率为p0=1/4,p1=1/4,p2=1/2。设计两个独立实验去观察它,其结果分别为Y1

有一信源输出X∈{0,1,2},其概率为p0=1/4,p1=1/4,p2=1/2。设计两个独立实验去观察它,其结果分别为Y1∈{0,1}和Y2∈{0,1}。已知条件概率为:

求:(1)I(X;Y1)和I(X;Y2),并判断哪个实验好些。 (2)I(X;Y1Y2),并计算做Y1和Y2两个实验比做Y1或Y2中的一个实验各可多得多少关于X的信息。 (3)I(X;Y1|Y2)和I(X;Y2|Y1),并解释它们的含义。

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第4题

A measure of correlation.Let X1和X2 be identically distributed,but not necessarily indepen

dent. let ρ=1 - H(X1|X2)/H(X1) (1)Show ρ=I(X1;X2)/H(X1) (2)Show 0≤ρ≤1 (3)When is ρ=0? (4)When is ρ=1?

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第5题

Verify that ρ(X;Y)can also be expressed as ρ(X,Y)=H(X)+H(Y) - 2I(X;Y) =H

(XY) - I(X;Y) =2H(XY) - H(X) - H(Y)

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第6题

Show that ρ(X,Y)=H(X|Y)+H(Y|X) has the above properties,and is therefore a metric.Note tha

t ρ(X,Y) is the number of bits needed for X and to communicate their values to each other.

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第7题

Suppose a DMC has the property that for some input assignment P(x)>0,x∈A={0,1,…,k-1},th

e variance of I(x;y)=0.Prove that the input assignment achieves channel capacity.

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第8题

For each of the Channels in Fig.3.22,find a probabilty assignment P(x) such that I(X;Y)>

;0 and VAR[I(x;y)]=0.Calculate I(X;Y).

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第9题

Express I(X;Y)in term of α and interpret the special case α=1.

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第10题

Prove that VAR[I(x;y)]=0 iff there is a constant α such that,for all x,y with P(xy)>0,P

(xy)=αP(x)P(y)

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