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Binary Symmetric Channel

Consider the following simple model for a communication channel with input X and output Y.


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 ...ut(41,25){\makebox(0,0)[l]{$0$}}
\put(41,30){\makebox(0,0)[l]{$Y$}}\end{picture}
As indicated, the transition probabilities are

\begin{displaymath}
\begin{array}
{ll}
P(Y=0\vert X=0) = 0.2 & P(Y=0\vert X=1) = 0.7 \\ P(Y=1\vert X=0) = 0.8 & P(Y=1\vert X=1) = 0.3. \end{array}\end{displaymath}

The transmission probabilities are P(X=0)=0.6 and P(X=1)=0.4, respectively.
1.
Assume that Y=0 was observed. What is the probability that X=0 was transmitted? What is the probability that X=1 was transmitted?
2.
If Y=0 wass observed which is more likely, X=0 was transmitted or X=1 was transmitted?
3.
Repeat part a) under the assumption that Y=1 was observed.
4.
Based on the observation of the output Y, a receiver for the above channel has to decide whether X=0 or X=1 was transmitted. For that purpose, it employs decision rules of the form: ``If Y=a was observed then X=b was most likely transmitted.'' Specify ``reasonable'' decision rules for the two possible values of Y.
5.
Receivers are measured by the probability of making a wrong decision. More precisely, the probability of error Pe is defined as

\begin{displaymath}
\begin{array}
{cl}
P_e = & P(X=0) \cdot P(\mbox{receiver dec...
 ...=1) \cdot P(\mbox{receiver decides $X=0$}\vert X=1).\end{array}\end{displaymath}

Find the probability of error for your receiver from part d).


Prof. Bernd-Peter Paris
3/2/1998