Viterbi Decoding and Encoding Algorithm Implementation

I have developed a detailed MATLAB implementation of Viterbi decoding and encoding algorithms, specifically designed for educational purposes. This program provides hands-on experience with convolutional coding principles and demonstrates the complete Viterbi algorithm workflow including trellis diagram generation, branch metric calculation, path metric computation, and survivor path selection. The implementation features well-commented code that clearly illustrates each step of the encoding process (using convolutional encoders with defined generator polynomials) and decoding process (employing the maximum likelihood sequence estimation technique). For beginners, this serves as an excellent learning tool to understand both the theoretical foundations and practical implementation aspects of Viterbi algorithms, with particular emphasis on how they handle error correction in digital communication systems. The code includes practical examples showing how to configure constraint lengths, traceback depths, and how to analyze bit error rate performance under different channel conditions.