Signal Spectrum Estimation Using Various Methods

Original algorithm implementation featuring six different power spectrum estimation techniques including FFT-based method, Periodogram, Welch's method, Short-Time Fourier Transform, parametric power spectrum estimation, and adaptive parametric approach. Each method includes corresponding visualization plots for comparative analysis, making this an excellent tool for learning signal processing and spectrum analysis. Available for download and study!

MATLAB Program for Autocorrelation Function Estimation (Direct Method and FFT Method), Signal Frequency Estimation, and Power Spectrum Analysis

This MATLAB program implements comprehensive signal processing techniques including autocorrelation function estimation using both direct computation and FFT-based methods, signal frequency estimation through advanced algorithms (MUSIC, ROOTMUSIC, ESPRIT, and MVDR), and power spectrum estimation employing Levinson-Durbin recursion, Blackman-Tukey method, and periodogram approach. The implementation includes comparative simulation plots and detailed code explanations for algorithm verification and performance analysis.