Data Adaptive Signal Estimation by Singular Value Decomposition of a Data Matrix
Date of Original Version
A new method is presented for estimating the signal component of a noisy record of data. Only a little prior information about die signal is assumed. Specifically, the approximate value of rank of a matrix which is formed from the samples of the signal is assumed to be known or obtainable from singular value decomposition (SVD). Copyright © 1982 by The Institute of Electrical and Electronics Engineers, Inc.
Publication Title, e.g., Journal
Proceedings of the IEEE
Tufts, Donald W., Ramdas Kumaresan, and Ivars Kirsteins. "Data Adaptive Signal Estimation by Singular Value Decomposition of a Data Matrix." Proceedings of the IEEE 70, 6 (1982): 684-685. doi: 10.1109/PROC.1982.12367.