Signal Parameter Estimation Using Rotational Invariance Techniques

This code implements the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm, which has become a principal eigenvalue decomposition method for harmonic recovery - specifically estimating the number of sinusoidal components and their frequencies. The implementation utilizes matrix subspace decomposition and rotational invariance properties for high-resolution frequency estimation.

Similar to Prony Algorithm: ESPRIT for Signal Parameter Estimation

Similar to the Prony algorithm, ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) is a parametric signal processing method that enables high-precision identification of frequency, phase, and amplitude parameters for arbitrary combinations of decaying/non-decaying sinusoidal signals in power systems without requiring synchronous sampling.