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