MATLAB Programs for Signal Processing Applications

MATLAB programs play a crucial role in signal processing applications. These programs implement various signal types including Linear Frequency Modulation (LFM), Nonlinear Frequency Modulation (NLFM), Binary Phase Shift Keying (BPSK), and Quadrature Phase Shift Keying (QPSK), among others. The code typically involves signal generation functions, modulation techniques, and frequency sweeping algorithms that help process and analyze different signal characteristics. For LFM signals, the implementation usually creates chirp signals with linearly changing frequency over time using MATLAB's chirp function or custom phase accumulation methods. NLFM implementations employ nonlinear frequency sweep patterns often defined through specialized phase functions or lookup tables. BPSK and QPSK modulators use constellation mapping, carrier modulation, and often include pulse shaping filters like raised-cosine for spectral control. These programs enable comprehensive signal analysis through time-domain visualization, spectral analysis, and BER calculations, providing valuable tools for understanding and applying signal processing concepts in practical scenarios.