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

Show that ρ(X,Y)=H(X|Y)+H(Y|X) has the above properties,and is therefore a metric.Note that ρ(X,Y) is the number of bits needed for X and to communicate their values to each other.

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第1题
Entvopy rate.Let{Xi}be a discrete stationary stochastic process with entropy rate H∞(X)

Entvopy rate.Let{Xi}be a discrete stationary stochastic process with entropy rate H∞(X)。Show (1/n)H(Xn…X1|X0X-1…X-k)→H∞(x) for k=1,2,….

Y=2X?

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第2题
Consider the following channel(is shown in Fig.3.26) is (1/2,0,1/2) an input distributi

Consider the following channel(is shown in Fig.3.26) is (1/2,0,1/2) an input distribution that achieves capacity?

Show that I(X;Y)=H(Y) - H(Z).

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第3题
Verify that ρ(X;Y)can also be expressed as ρ(X,Y)=H(X)+H(Y) - 2I(X;Y) =H

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4题
已知一个空间不变相干成像系统的点扩散函数为h(x,y),若系统输入为f(x,y),则系统输出的计算式为( )。

A.f(x,y)·h(x,y)

B.h(x,y)·f(x,y)

C.f(x,y)/h(x,y)

D.h(x,y)/f(x,y)

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第5题
Inequalities.Let X,Y and Z be a discrete joint random variables.Prove the validity of the
following inequalities and find condition for equality. (1)H(XY|Z)≥H(X|Z) (2)I(XY;Z)≥I(X;Z) (3)I(X;Z|Y)≥I(Z;Y|X) - I(Z;Y)+I(X;Z) (4)H(XYZ) - H(XY)≤H(XZ) - H(X)

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第6题
已知X和Y都是取值于{0,1}的一进制随机变量,P(X=0)=p。还已知P(X≠Y f X)=ε。求概率P(Y=1),熵H(X),H(

已知X和Y都是取值于{0,1}的一进制随机变量,P(X=0)=p。还已知P(X≠Y f X)=ε。求概率P(Y=1),熵H(X),H(Y),H(Y|X以及互信息I(X;Y)。假设ε给定,p可变,求能使I(X;Y)最大的p。

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第7题
Using Venn diagrcuns(维拉图),we can see that mutual information common to three random var

Using Venn diagrcuns(维拉图),we can see that mutual information common to three random variable 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8题
X是n维连续型随机矢量,Y=AX是X的线性变换,并且A是一个n×n的非奇异矩阵,证明h(Y)=log2|det(A)|+h(X)。

X是n维连续型随机矢量,Y=AX是X的线性变换,并且A是一个n×n的非奇异矩阵,证明h(Y)=log2|det(A)|+h(X)。

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第9题
已知H(Y|X)=0,求证,p(x)>0,只存在一个y使得p(xy)>0。

已知H(Y|X)=0,求证,p(x)>0,只存在一个y使得p(xy)>0。

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第10题
如果两个随机变量X与Y独立,则()也独立

A.g(X)与h(Y)

B.X与X+1

C.X与X+Y

D.Y与Y+1

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第11题
Suppose that X and Y are real—valued,independent,random variables.Use Jensens inequality t
o prove that h(X+Y)≥h(X)

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