ESPRIT

ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) is a mathematical method used to identify the frequencies or directions of multiple signals buried in noisy data. It works by analyzing the data's structured patterns to separate and estimate the original signals' parameters with high accuracy. Commonly applied in radar, sonar, and wireless communications, ESPRIT leverages the concept of rotational invariance within the data's subspaces to efficiently and precisely determine signal attributes, even in challenging noisy environments.