PCM (Pulse Code Modulation) Simulation and Debugging Program in MATLAB

In MATLAB, you can simulate and debug Pulse Code Modulation (PCM) for digital signal processing. The PCM implementation involves three critical stages: signal sampling, quantization, and encoding. During signal sampling, MATLAB's built-in functions like 'sampledata = resample(analog_signal, fs_new, fs_old)' can be used to convert analog signals to digital format by capturing discrete-time samples at specified intervals. The quantization process discretizes continuous amplitude values using algorithms such as uniform quantization ('quantized_signal = uencode(sampled_signal, bits)') or non-uniform quantization techniques like μ-law compression. Finally, encoding maps discrete amplitude levels to binary codes using functions like 'pcm_encoded = de2bi(quantized_levels)' to generate transmit-ready digital data. Through PCM simulation, developers can analyze quantization error effects using 'snr()' calculations, visualize signal degradation with 'plot()' comparisons, and debug transmission chain performance using MATLAB's Signal Processing Toolbox functions for comprehensive digital communication system understanding.