Speaker
Curtis McLennan
(University of Kansas)
Description
Radio-based physics experiments like the Radar Echo Telescope frequently require analysis techniques that can recover signals at or below the level of noise. Singular Value Decomposition is a versatile tool for signal processing, allowing complex signals to be efficiently analyzed, denoised, and reconstructed, even when signal characteristics are not known. This talk highlights the methodology of singular value decomposition and presents a practical example of using SVD to accomplish weak signal extraction.
Author
Curtis McLennan
(University of Kansas)
