MATLAB Implementation of Signal Spectrum Analysis Programs

This article presents MATLAB implementations for signal spectrum analysis. Signal spectrum analysis is a fundamental technique for examining signal characteristics in the frequency domain. The implementation includes multiple source code examples that demonstrate key aspects of spectrum analysis using MATLAB's signal processing toolbox functions such as fft(), pwelch(), and periodogram(). These codes showcase practical approaches for computing power spectral density, frequency resolution adjustment, and windowing techniques.

The provided source codes serve as comprehensive learning resources, illustrating core concepts including Fast Fourier Transform (FFT) algorithms, spectral leakage mitigation through window functions, and parameter optimization for different signal types. Readers can study the implementation details of spectrum estimation methods and modify the code for specific applications.

Signal spectrum analysis has extensive practical applications in fields such as audio processing, image analysis, and communication systems. By studying these implementation examples, readers can gain deeper insights into digital signal processing techniques and enhance their professional skills in developing spectral analysis solutions for real-world engineering problems.