Communication System Simulation Based on MATLAB Platform

This text presents a MATLAB-based code that simulates the complete transmission process of a text signal. The implementation covers key stages including source sampling, encoding, transmission, decoding, and desampling. Notably, this simulation helps clarify complex aspects of text signal transmission. The source sampling stage converts continuous signals into discrete sequences using quantization algorithms. Encoding transforms these discrete signals into digital formats through modulation schemes (such as PCM or QAM). The transmission phase models channel characteristics with noise addition and signal propagation. Decoding reconstructs digital signals back to discrete form using demodulation techniques. Finally, desampling employs interpolation methods to convert discrete signals back to continuous waveforms, completing the text signal transmission cycle. The code demonstrates practical implementation of digital communication algorithms, making it valuable for understanding fundamental signal processing concepts.