Fourth-Order Cumulant-Based Multiple Signal Classification (MUSIC) Algorithm with MATLAB Implementation

Implementation of the MUSIC algorithm using fourth-order cumulants in MATLAB environment, featuring signal processing and classification capabilities.

Implementation of Projection Approximation Subspace Tracking (PAST) Algorithm and Comparison with Multiple Signal Classification (MUSIC) Algorithm

Implementation of the Projection Approximation Subspace Tracking (PAST) algorithm with detailed comments, accompanied by a comparative analysis against the Multiple Signal Classification (MUSIC) algorithm, including performance evaluation and code examples.

Spectral Estimation Methods: (1) Modified Covariance Method, (2) Multiple Signal Classification (MUSIC) Algorithm, (3) ESPRIT Algorithm, (4) Pisarenko Harmonic Decomposition Method

Comprehensive analysis and implementation of four spectral estimation techniques: Modified Covariance Method, Multiple Signal Classification (MUSIC) Algorithm, ESPRIT Algorithm, and Pisarenko Harmonic Decomposition Method, including MATLAB code demonstrations with implementation details about signal processing functions and eigenvalue decomposition techniques.