Convolutional Code Encoding Program (MATLAB Implementation)

This documentation presents a highly practical convolutional code encoding program developed using MATLAB. The implementation focuses on providing an educational tool for better understanding and applying convolutional coding principles. The program incorporates key algorithms including: - Trellis-based encoding using finite-state machines - Polynomial representation of generator sequences - Support for various constraint lengths and code rates - Viterbi algorithm implementation for decoding operations The software architecture includes a user-friendly interface with modular functions for: 1. Code parameter configuration (constraint length, generator polynomials) 2. Bit-stream encoding with state transition tracking 3. Error insertion simulation for performance testing 4. Decoding accuracy analysis and bit-error-rate calculations Key MATLAB functions utilized include: - `convenc` for convolutional encoding - `vitdec` for Viterbi decoding - Custom functions for trellis diagram visualization - BER calculation modules using `biterr` function The program supports both hard-decision and soft-decision decoding approaches, making it suitable for academic research, algorithm verification, and practical communication system design. Whether you're a student, researcher, or engineering professional, this implementation provides robust tools for in-depth study and application of convolutional coding techniques, complete with code comments and performance analysis features to enhance understanding of error-correction coding fundamentals.