Power Spectral Density Simulation Comparison

This program is designed for power spectral density simulation comparisons. For detailed specifications of the three signal sources referenced, please consult "Introduction to Modern Digital Signal Processing" Volume 1, Page 202, Exercise 5. The simulation implements three primary spectral estimation techniques: Periodogram method (using FFT-based direct spectral estimation), Autocorrelation method (employing Wiener-Khinchin theorem with correlation calculations), and Covariance method (utilizing parametric modeling approaches). The code structure includes signal preprocessing, windowing functions, and spectral plotting routines. Additionally, the simulation framework can be extended to incorporate other spectral analysis techniques such as Fourier transform variants, wavelet transform implementations, and modern parametric methods to enhance estimation accuracy and expand research scope. The MATLAB implementation provides configurable parameters for method comparison and performance evaluation.