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Problem 3
Consider a symmetric binary channel Γ, where the input symbols are A={0,1}, and the output symbols are B={0,1}. We denote the probability distribution of A as PA, and the probability of event a, which belongs to A, as PA(a). Suppose that PA(0)=p, PA(1)=1−p, and the probability of a symbol swap is q whichever symbol is inputted to channel Γ. Answer the following questions. In this problem, the base of logarithm is 2.
(1) Draw a channel diagram of channel Γ.
(2) Describe the probability distribution of B, PB, using p and q.
(3) Describe the entropy H(B) and the conditional entropy H(A∣B) using p and q.
(4) Calculate H(A∣B) and the mutual information I(A;B) for each of the two cases: (p=0.25,q=0) and (p=0.25,q=0.25). Also, explain the meaning of I(A;B) in this channel comparing the I(A;B) values in both cases.
Suppose that memoryless channels Γ1 and Γ2 are cascade-connected. In channel Γ1, the input symbols are X={x1,x2} and the output symbols are Y={y1,y2}. In channel Γ2, the input symbols are Y and the output symbols are Z={z1,z2}. We denote the simultaneous probability of x and y as P(x,y), and the conditional probability of x given y as P(x∣y). Answer the following questions.
(5) Prove that Eq. (i) is true on channel Γ1 and channel Γ2.
H(X∣Z)−H(X∣Y)=∑i=12∑j=12[P(yi,zj)∑k=12P(xk∣yi){logP(xk∣yi)−logP(xk∣zj)}](i)
(6) Prove that H(X∣Z)≥H(X∣Y) is true. Based on this, explain the meaning of the mutual information I(X;Z).
(7) Suppose that the probability distribution of X as PX(x1)=s and PX(x2)=1−s, and the probability of a symbol swap is r on channel Γ1 and channel Γ2. The capacity in the entire channel is denoted as C12. Obtain the values of r and C12 when C12 is maximized.
答案
