Central Limit Theorem – a demonstration

 This post contains interactive python code which you can execute in the browser itself. Central Limit Theorem – What is it ? The central limit theorem (CLT) is a fundamental concept in statistics and probability theory that explains how the sum of independent and identically distributed random variables behaves. The theorem states that as … Read more

Maximum likelihood decoding — BSC Hamming metric and AWGN Euclidean metric

Detection path: ML estimation → ML decoding → Hard vs soft decision → Hamming codes In one sentence: Maximum-likelihood decoding picks the codeword that maximizes the channel likelihood of the received word — on a BSC that reduces to nearest Hamming neighbor when the crossover probability is below one half.  Introduction Maximum likelihood decoding … Read more