MATLAB Implementation of PCM Encoding Using 13-Segment Approximation

Resource Overview

MATLAB-based PCM encoding implementation featuring 13-segment approximation for sampling, quantization, and encoding processes, demonstrating analog-to-digital signal conversion with key information preservation.

Detailed Documentation

This implementation demonstrates PCM (Pulse Code Modulation) encoding in MATLAB using a 13-segment approximation method. The algorithm performs three critical operations: sampling the analog signal at regular intervals, quantizing the sampled values using non-uniform quantization based on the 13-segment characteristic curve, and encoding the quantized values into binary digits. The code typically involves defining the compression characteristics using logarithmic segments, implementing quantization tables, and converting analog values to their corresponding digital codes. This approach effectively transforms analog signals into digital format while maintaining essential signal characteristics through optimized non-uniform quantization that provides higher accuracy for smaller amplitudes and reduced resolution for larger amplitudes. The implementation may include functions for signal normalization, segment identification, quantization level calculation, and binary code generation to complete the full PCM encoding chain.