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MATLAB PCM System Simulator demonstrating digital signal processing fundamentals. Features sampling, quantization (uniform/μ-law), multiple encoding schemes, and signal reconstruction. Includes interactive parameter selection, visualization tools, and frequency analysis. Written for a communications course.

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elshazlio/Pulse-Code-Modulation-PCM-Simulator-using-MATLAB

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Pulse-Code-Modulation-PCM-Simulator-using-MATLAB

MATLAB PCM System Simulator demonstrating digital signal processing fundamentals. Features sampling, quantization (uniform/μ-law), multiple encoding schemes, and signal reconstruction. Includes interactive parameter selection, visualization tools, and frequency analysis. Written for a communications course.

Our MATLAB-based Pulse Code Modulation (PCM) System Simulator provides a comprehensive implementation of digital signal processing fundamentals. The simulator demonstrates the complete PCM chain: sampling, quantization, encoding, decoding, and signal reconstruction. The system supports both uniform and nonuniform (μ-law) quantization, multiple encoding schemes (unipolar, polar, and Manchester), and includes advanced signal reconstruction with adaptive interpolation. While the default implementation uses a cosine test signal, the system is designed to process any arbitrary input signal within the specified amplitude range.

Features

Interactive parameter selection through a GUI dialog
Support for multiple encoding schemes (unipolar, polar, and Manchester)
Implementation of both uniform and μ-law quantization
Advanced signal reconstruction with adaptive interpolation
Comprehensive visualization of signals at each processing stage
Frequency domain analysis capabilities

Visualization Outputs

Source and sampled signal comparison
Quantization effects visualization
Encoded signal representation
Reconstructed signal quality analysis
Frequency spectrum analysis at various stages

Real-World Applications Telecommunications

Digital telephony systems
Voice-over-IP (VoIP) applications
Digital audio broadcasting

Audio Processing

Digital audio workstations
Audio compression systems
Sound recording equipment

Educational Purpose

Teaching digital signal processing concepts
Demonstrating sampling theory
Exploring quantization effects
Understanding digital encoding schemes

Research and Development

Prototyping digital communication systems
Testing different encoding schemes
Analyzing signal quality under various conditions
Optimizing digital signal processing parameters

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MATLAB PCM System Simulator demonstrating digital signal processing fundamentals. Features sampling, quantization (uniform/μ-law), multiple encoding schemes, and signal reconstruction. Includes interactive parameter selection, visualization tools, and frequency analysis. Written for a communications course.

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