MATLAB Simulation of Pulse Code Modulation (PCM) with A-law and μ-law Companding

Resource Overview

MATLAB simulation of Pulse Code Modulation (PCM) with A-law and μ-law companding techniques, including implementation approaches for digital signal processing and quantization algorithms.

Detailed Documentation

In this article, we will conduct an in-depth exploration of MATLAB simulations for Pulse Code Modulation (PCM). PCM is a digital signal processing technique used to convert analog voice signals into digital formats. Specifically, we will examine companding techniques, including A-law and μ-law algorithms. These encoding schemes play crucial roles in PCM systems as they enhance signal precision and reduce quantization errors. We will focus on implementing these compression-expansion algorithms in MATLAB, demonstrating how to prevent data loss and distortion through proper quantization level management. The implementation typically involves creating quantization functions that apply logarithmic compression curves, using MATLAB's built-in functions like compand() for A-law/μ-law transformation, and analyzing the signal-to-noise ratio improvements achieved through these companding techniques.