MATLAB Code Implementation for Pulse Code Modulation Simulation

This project implements a comprehensive pulse code modulation simulation using MATLAB. The simulation system includes PCM module development with detailed analysis of different pulse coding schemes. Key implementation involves generating quantized signals using MATLAB's quantization functions, implementing encoding algorithms for techniques like Differential Pulse Code Modulation (DPCM) and Adaptive DPCM (ADPCM) through difference computation and adaptive step-size adjustment routines.

Through these simulation experiments, we examine the working principles of pulse coding by developing MATLAB scripts that simulate signal sampling, quantization, and encoding processes. The system evaluates coding techniques by comparing their performance metrics, providing accurate results through statistical analysis functions and data visualization tools.

Additional research components include investigating Signal-to-Noise Ratio (SNR) impacts using noise injection algorithms and Bit Error Rate (BER) calculation through error counting routines. The simulation tests various channel conditions by implementing different noise models and analyzes comparative performance of coding schemes using MATLAB's communication toolbox functions.

This project establishes a complete MATLAB-based pulse coding simulation environment that enables researchers and engineers to better understand and analyze pulse coding technologies. The implementation includes modular code structure for easy extension, comprehensive documentation, and reproducible experiments contributing to advanced research in pulse coding methodologies.