MATLAB Code for Convolutional Encoding and Viterbi Decoding

This repository provides MATLAB implementations for convolutional encoding and Viterbi decoding, originally extracted from the English version of "Modern Communication Systems Using MATLAB". The code demonstrates practical implementation of communication system algorithms, featuring efficient polynomial-based encoding and maximum-likelihood sequence estimation through the Viterbi algorithm. I've found these implementations particularly valuable for understanding channel coding techniques, as they include proper trellis structure handling, branch metric calculations, and survivor path management. The code structure clearly separates encoding and decoding processes, making it excellent for educational purposes and practical communication system development. If you're working on digital communications or error-correction coding, I highly recommend experimenting with these implementations - they provide substantial assistance and inspiration for both learning and project development.