Title :
The analysis of structurally constrained minimum mean-square error block matrix filters
Author :
Corral, Celestino A. ; Lindquist, Claude S.
Author_Institution :
Electron. Syst. Div., Scientific-Atlanta Inc., Atlanta, GA, USA
Abstract :
We consider here the problem of applying system requirements in SISO FIR block matrix filters, their least-squares error formulation with a look towards improving computational efficiency, and their eventual performance characterization. It is shown that the proposed least squares formulation can be applied to structural requirements in general and that the approach taken in this paper is adequate for estimation and detection applications with the ultimate goal of real-time processing.
Keywords :
FIR filters; computational complexity; estimation theory; least mean squares methods; matrix algebra; signal detection; time-domain analysis; SISO FIR block matrix filters; computational efficiency; detection; estimation; least-squares error formulation; performance; real-time processing; structural requirements; structurally constrained minimum mean-square error block matrix filters; Arithmetic; Computational efficiency; Convolution; Distributed computing; Finite impulse response filter; Least squares approximation; Least squares methods; Real time systems; Signal processing; Throughput;
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7646-9
DOI :
10.1109/ACSSC.1996.600810
