Pulse Code Modulation (PCM) and A-law/μ-law PCM for Audio Compression Codec Process

Resource Overview

MATLAB-based simulation of Pulse Code Modulation (PCM) and A-law/μ-law PCM audio compression codec processes. PCM (Pulse Code Modulation) is an encoding technique that converts analog voice signals into digital signals. The waveform encoder performs quantization and encoding on sampled signal values. Mathematically, quantization maps an infinite set of continuous amplitude values to a finite set of discrete amplitudes, while encoding represents these quantized values using binary codes. Standardized PCM employs folded binary codes to meet toll-quality telephone standards. Based on quantization methods, PCM is categorized into uniform quantization PCM and logarithmic PCM. Logarithmic PCM includes internationally standardized A-law and μ-law encoding schemes, which enable efficient audio compression and decompression with implementation involving algorithms like quantization tables, compression curves, and lookup tables for digital signal processing.

Detailed Documentation

This experiment demonstrates the detailed steps of simulating Pulse Code Modulation (PCM) and A-law/μ-law PCM audio compression codec processes using MATLAB. PCM (Pulse Code Modulation) is an encoding method that converts analog voice signals to digital signals through waveform encoding, which involves quantization and encoding of sampled signal values. The quantization process maps an infinite set of continuous amplitude values to a finite set of discrete amplitudes, while encoding uses binary numbers to represent these quantized values. Internationally standardized PCM adopts folded binary codes to ensure toll-quality transmission. Based on quantization techniques, PCM is divided into two main categories: uniform quantization PCM and logarithmic PCM. For logarithmic PCM, A-law and μ-law encoding have been established as international standards, providing efficient audio compression and decoding capabilities through algorithms that implement non-linear quantization curves, companding techniques, and digital signal reconstruction methods in code.