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The recovery of transmitted messages in the presence of noise and InterSymbol Interference (ISI) is an important research topic in digital communications. In low quality channels, ISI increases symbol error rate drastically. In meeting the increasing demand of high-speed communications, equalizer employed at the receiver plays an important role in overcoming ISI. Therefore, equalization of communication channels has been a problem attracting intensive research activities over past few decades. Many equalization methods have been proposed. The optimal approach to channel equalization is based on Maximum Likelihood Sequence Estimation (MLSE) which may be efficiently implemented using Viterbi algorithm provided the channel impulse response is available.
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