MATLAB Code Implementation for FM Demodulation

This section provides a comprehensive explanation of the FM demodulation process. The implementation utilizes MATLAB M-file programming to simulate both ideal (noise-free) and practical (noise-corrupted) signal conditions, enabling deeper understanding of demodulation principles and performance evaluation. The MATLAB implementation typically involves: - Signal generation using frequency modulation techniques - Core demodulation algorithm employing phase-locked loops (PLL) or differentiation methods - Noise simulation using AWGN (Additive White Gaussian Noise) functions - Performance analysis through constellation diagrams and BER calculations Key functions used include: - fmmod() and fmdemod() for modulation/demodulation operations - awgn() for adding controlled noise levels - plot() and spectrum analyzers for visualization - error rate calculations for quantitative performance assessment The code structure allows comparative analysis between clean and noisy signals, demonstrating noise impact on demodulation accuracy and signal quality.