Simulating Convolutional Coding Using Simulink

This simulation uses Simulink to model convolutional coding and employs the Viterbi algorithm for decoding. The entire encoding and decoding process is implemented through custom code using S-Function methodology. This approach provides deeper understanding of convolutional coding principles and Viterbi decoding mechanisms while allowing algorithm optimization based on specific requirements. Through manual implementation of the codec functionality, developers gain full control over algorithmic details including trellis structure management, branch metric calculations, and path metric updates in the Viterbi decoder. The S-Function implementation enables customization of code parameters such as constraint length, generator polynomials, and traceback depth, facilitating adaptation to various application scenarios and performance requirements. The hands-on coding approach also permits integration of advanced features like puncturing patterns for rate adaptation and soft-decision decoding implementations.