PCM Encoding: Linear, A-Law, and μ-Law Algorithms

This document discusses key concepts of PCM encoding, including Linear PCM encoding, A-Law PCM encoding, and μ-Law PCM encoding algorithms. We will explore MATLAB implementations of these different PCM encoding techniques, covering critical functions such as quantization level calculation, compression characteristic implementation, and encoding/decoding procedures. The implementation typically involves defining quantization intervals, applying compression laws for non-linear encoding, and handling signal normalization. Through detailed analysis and practical implementation, we can better understand and apply these encoding techniques, providing enhanced capabilities for both professional applications and academic learning. The MATLAB code examples will demonstrate algorithm-specific parameters, such as μ-law's typical μ=255 value and A-law's A=87.6 compression parameter, along with their respective compression characteristics for optimal signal-to-noise ratio performance.