A fast Viterbi decoding using the information of most-frequency symbol of convolutional code

A fast viterbi decoding is proposed and its error performance on additive white Gaussian noise channels analyzed. The frequency of each symbol of received sequence is counted and a reduction of add-compare-select operations is implemented by using the most-frequent symbol.<
>