MATLAB Simulation of Digital Signal Processing with Noise Addition and Filtering
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This example demonstrates a digital signal processing simulation using MATLAB. The workflow involves injecting noise into an original signal, applying filtering techniques to remove noise components, and outputting the processed signal. Through this simulation, we can observe the signal transformation after filtering and analyze the impact of noise contamination on signal quality. The implementation typically involves key MATLAB functions such as awgn() for additive white Gaussian noise injection, filter() or designfilt() for creating digital filters (e.g., low-pass FIR filters), and fft() for frequency domain analysis. This example helps in understanding fundamental DSP concepts including signal degradation, frequency response characteristics, and filter design principles through practical code execution and visual comparisons between original and processed signals.
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