Unitary ESPRIT Algorithm Implementation Code

This section presents the implementation code for Unitary ESPRIT, an algorithm specifically designed for signal frequency estimation that finds extensive applications in signal processing and communication systems. The algorithm employs advanced array signal processing techniques to achieve high-precision frequency estimation while simultaneously enabling signal separation and component analysis. Unitary ESPRIT stands out as an efficient frequency estimation method due to its ability to maintain high accuracy under low signal-to-noise ratio conditions and handle multiple signal sources concurrently. The provided code implementation includes key functions for covariance matrix computation, eigenvalue decomposition, and signal subspace extraction, following the mathematical framework of unitary transformation to reduce computational complexity. If you require Unitary ESPRIT algorithm for signal frequency estimation tasks, this code offers a robust foundation with proper matrix manipulation routines and parameter configuration options for various practical scenarios.