MATLAB-Based Convolutional Code Encoder and Decoder Implementation

This MATLAB-based convolutional code encoder and decoder program provides a complete implementation for convolutional coding operations. The program operates within the MATLAB environment and includes comprehensive documentation to facilitate user understanding and utilization. Convolutional coding and decoding represent fundamental techniques widely employed in communication systems, significantly enhancing reliability and performance through error correction capabilities. The implementation features core functions including: - Convolutional encoder with configurable constraint length and generator polynomials - Viterbi algorithm decoder with optimal path metric calculations - Trellis structure visualization and state transition management - Error detection and correction mechanisms with performance analysis Users can perform various coding operations including: - Encoding binary data streams using shift register implementations - Decoding received sequences with soft-decision and hard-decision options - Simulating transmission channels with configurable error probabilities - Analyzing bit error rate (BER) performance under different SNR conditions Additional functionality includes: - Parameter customization for code rate (e.g., 1/2, 1/3, 2/3) and constraint length - Support for both terminated and truncated trellis approaches - Graphical visualization of encoding/decoding processes - Performance comparison tools for different coding schemes This robust and user-friendly tool serves applications in academic research, communication system design, and digital signal processing education, providing practical implementation insights through well-structured MATLAB code and simulation examples.