Explore MATLAB source code curated for "PCM" with clean implementations, documentation, and examples.
README for Yashil's Fuzzy C-Means Clustering MATLAB (Y_FCMC) Toolbox Version 1.04 ---------------------------------------------------------------------------------------------- This MATLAB toolbox provides M-file implementations of four advanced clustering algorithms: 1. Fuzzy C-Means Clustering (FCM) - Core fuzzy clustering with membership-based partitioning
This project demonstrates the development of a Pulse Code Modulation (PCM) encoder using SIMULINK in MATLAB, including implementation details and algorithm explanations.
This program demonstrates PCM (Pulse Code Modulation) simulation and debugging in MATLAB, covering signal sampling, quantization, and encoding processes with practical implementation details.
This document presents my programming implementation scheme for PCM (Pulse Code Modulation), designed to assist with communication simulation and digital signal processing applications.
This document presents Simulink-based implementations of key communication technologies including Amplitude Modulation (AM), Double-Sideband Suppressed-Carrier (DSB-SC), Frequency Modulation (FM), Phase-Locked Loop (PLL), Data Acquisition, Digital Data Transmission, Pulse Code Modulation (PCM), and Delta Modulation, complete with block diagram configurations and parameter settings.
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.
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.
MATLAB source code for Fuzzy C-Means (FCM) and Possibilistic C-Means (PCM) clustering algorithms - lightweight implementations with operational capability for pattern recognition applications
Implementation of PCM (Pulse Code Modulation) including A-law and U-law compression algorithms for digital signal processing
A MATLAB implementation of PCM digital telephone communication simulation without decompression password - first program release, seeking community support and feedback