Explore MATLAB source code curated for "脉冲编码调制" with clean implementations, documentation, and examples.
This program demonstrates PCM (Pulse Code Modulation) simulation and debugging in MATLAB, covering signal sampling, quantization, and encoding processes with practical implementation details.
PCM Design Paper: Simulation Design of Pulse Code Modulation - A MATLAB Simulink-based Simulation Design Report featuring implementation methodology, algorithm analysis, and key function descriptions
Implementation of PCM technology through three processes: sampling, quantization, and encoding. Sampling: Low-pass continuous signal sampling demonstrated using x=sin(200*t), m=x./(200*t), m=m.*m to illustrate sampling theorem with time/frequency domain plots; Band-pass continuous signal sampling using x=sin(20*t), m=x./t to demonstrate band-pass sampling theorem with corresponding plots. Quantization: Uniform quantization implemented for sinusoidal signals with 64 quantization levels; Non-uniform quantization applied to sinusoidal signals input to A-law PCM encoder, showing sampling sequence and output code sequence. Encoding: Implementation of A-law 13-segment approximation and international standard PCM logarithmic A-law quantization coding.
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.
This program performs analog signal digitization through PCM (Pulse Code Modulation), converting sampled values into 8-bit PCM codes, which represents the predominant encoding methodology in modern voice coding systems
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.
Implementation of PCM (Pulse Code Modulation) including A-law and U-law compression algorithms for digital signal processing