MUSIC Algorithm - Multiple Signal Classification for Spatial Spectrum Estimation

MUSIC algorithm for spatial spectrum estimation and DOA (Direction of Arrival) analysis: A power spectrum estimation method based on matrix eigenvalue decomposition comprising two non-parametric estimation approaches - eigenvector estimation and MUSIC estimation. Eigenvector estimation is primarily suitable for power spectrum estimation of sinusoidal signals contaminated with white noise, while MUSIC estimation is more appropriate for general sinusoidal signal parameter estimation. The algorithm implementation involves covariance matrix computation, eigenvalue decomposition, and noise subspace identification for high-resolution spectral estimation.