MATLAB Code Implementation for Spectrum Estimation

This document provides comprehensive source code implementations for spectrum estimation algorithms. The codebase includes classical algorithms such as ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) and MUSIC (Multiple Signal Classification), which are fundamental techniques in signal processing. Spectrum estimation is a crucial signal processing methodology that enables frequency and amplitude estimation from frequency domain data. The implementations feature proper matrix operations for covariance matrix calculation, eigenvalue decomposition for signal subspace identification, and peak detection algorithms for frequency component extraction. Through these well-commented codes, users can gain deeper understanding of algorithm workflows, including how signal and noise subspaces are separated and how rotational invariance principles are applied. These ready-to-use implementations can be directly integrated into your projects for advanced signal processing and data analysis applications. Thank you for utilizing our code implementations!