MATLAB Implementation of SSB Modulation and Demodulation with Signal Analysis

Implementation of SSB modulation and demodulation using MATLAB. By creating M-files in MATLAB's integrated environment, we programmatically generate SSB-modulated signals and recover the original signal through demodulation. The code includes functionality to plot time-domain and frequency-domain waveforms before and after demodulation, and also visualizes the impact of additive noise on signal quality. In this experiment, we utilize MATLAB's computational environment to implement Single SideBand (SSB) modulation and demodulation algorithms. The program structure involves: 1. Generating a baseband message signal using mathematical functions 2. Applying Hilbert transform techniques for sideband suppression 3. Implementing coherent detection using synchronous demodulation 4. Adding white Gaussian noise to simulate channel impairments We analyze the demodulation process correctness by comparing input and output signals in both time and frequency domains. The code calculates error rates and signal-to-noise ratios to quantitatively assess channel impact on transmission quality. This experiment enhances understanding of SSB communication systems through practical MATLAB implementation. By observing waveform distortions under noisy conditions, we can evaluate the robustness of the demodulation process and characterize channel effects on signal integrity. Through this implementation, we gain insights into digital signal processing techniques for SSB systems and develop skills in MATLAB programming for communication applications. The analysis of experimental results provides validation of demodulation accuracy and quantifies channel-induced degradation using spectral analysis and error measurement functions.