MATLAB Simulation of MELP Algorithm Implementation

This article explores the simulation of the MELP (Mixed Excitation Linear Prediction) algorithm in MATLAB. To achieve a thorough understanding of this algorithm, we obtained reference materials from an international technical website, studying both its implementation methodology and performance characteristics. Through detailed investigation, we determined this to be a classic algorithmic implementation with broad application potential. The simulation enables deeper insight into the algorithm's internal mechanisms and operational workflow, providing valuable references for future research. Our discussion includes comprehensive implementation details covering key MATLAB functions such as frame-based processing, linear predictive coding (LPC) analysis, and mixed excitation synthesis. We analyze the simulation results to demonstrate the algorithm's characteristics in voice compression and reconstruction, including parameter quantization effects and computational efficiency. The implementation specifically handles voice activity detection, pitch period extraction, and Fourier magnitude modeling through structured MATLAB scripts and function modules. This technical breakdown serves to enhance understanding of MELP's practical applications in speech coding systems and digital communication scenarios.