Title :
Linear detection filtering for the context of a least-squares estimator for signal processing applications
Author :
Haas, William H. ; Lindquist, Claude S.
Author_Institution :
Rockwell International, Downey, California
Abstract :
A generalized optimal linear detection filter is derived as a certain type of least-squares estimator. With the classical matched filter as one specific case, several new fundamental detection filters are derived and compared. All derivations are carried out in the frequency domain. A graphical example is presented as an illustrated comparison of the responses of the various detection filters in both the time and frequency domains.
Keywords :
Additive noise; Filtering; Frequency domain analysis; Lakes; Matched filters; Multi-stage noise shaping; Nonlinear filters; Signal design; Signal processing; Transfer functions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.
DOI :
10.1109/ICASSP.1978.1170583