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Information on finding the relation between the threshold 'a' and noise variance 'σ' for correctly decoding a binary signal x with probabilities 1/3 and 2/3 in the presence of gaussian noise z with zero mean and variance σ. The probability density function (pdf) of a gaussian random variable for reference.
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Problem 1. A signal X taking the values -1 and 1 ( corresponding to binary values 0 and 1) with probabilities 1/3 and 2/3 is transmitted over a noisy channel. The noise, Z is a Gaussian r.v with zero mean and variance σ^2. The receiver decodes the received signal Y=X+Z as 0 if Y<a and 1 otherwise. Find a relation between a and σ^2 , such that the Bit Error Rate( BER) or the probability of error is below 10 −^3. You might not need this, but just in case the pdf of a Gaussian r.v with mean (^) μ and variance (^) σ^2 is :
2 2
( ) ( ) 1 2 ( , ) 2
x f (^) X x e x
μ σ πσ
−^ − = ∈ −∞ ∞