PCM Encoding: Linear, A-Law, and μ-Law Algorithms
MATLAB Implementation of Linear PCM, A-Law PCM, and μ-Law PCM Encoding Algorithms
MATLAB Simulation of Pulse Code Modulation (PCM) with A-law and μ-law Companding
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.
Pulse Code Modulation (PCM) and A-law/μ-law PCM for Audio Compression Codec Process
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.
PCM (Pulse Code Modulation) with A-law and U-law Compression Implementation
Implementation of PCM (Pulse Code Modulation) including A-law and U-law compression algorithms for digital signal processing