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The project involves implementing and analyzing digital communication techniques using MATLAB. Specifically, it focuses on encoding and decoding a discrete source using Huffman coding for image compression and DPCM (Differential Pulse Code Modulation) for signal quantization and prediction.
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.