Communication Principles Course Project: SSB Signal Demodulation Implementation

This MATLAB-based communication principles course project successfully implements SSB (Single Sideband) signal demodulation. The project documentation includes detailed explanations of the implementation process and related concepts, featuring key MATLAB functions such as Hilbert transform operations, phase shifting techniques, and envelope detection algorithms. The implementation demonstrates proper signal processing workflows including frequency domain analysis using FFT/IFFT functions and filter design using fir1 or cheby1 functions for sideband suppression. The project provides sample code segments showcasing the complete demodulation chain, from input signal preprocessing to final demodulated output recovery. Experimental results are presented with signal waveforms, spectrum analyses, and performance metrics using MATLAB's plotting capabilities (plot, fft, spectrum analyzer tools). Furthermore, the documentation explores practical applications of demodulation techniques in modern communication systems and suggests potential improvements such as adaptive filter implementation, noise reduction algorithms, and real-time processing optimization using MATLAB's DSP System Toolbox. This course project serves as a valuable resource for students and practitioners learning communication principles and demodulation technologies.