Spectral Estimation

Spectral Estimation is a signal processing technique aimed at estimating the spectral characteristics of a signal from limited data. Its goal is to accurately reconstruct the frequency components of the signal through mathematical methods and algorithms, thereby revealing the intrinsic structure and dynamic features of the signal. In the field of computer vision, Spectral Estimation can be used for frequency domain analysis of images and videos, enhancing the performance of image processing and pattern recognition. This technology has significant application value in areas such as communications, radar, and biomedical engineering, effectively improving the accuracy and reliability of systems.