Implementation of least squares adaptive filters using multiple processors

Author

Manolakis, Dimitris G. ; Patel, Mehool S.

Author_Institution

Dept. of Electr. Eng., Worcester Polytech. Inst., MA, USA

Volume

5

fYear

1992

fDate

10-13 May 1992

Firstpage

2172

Abstract

The authors discuss practical issues arising in the implementation of various adaptive finite impulse response (FIR) filters using multiple processors. Some key issues involved in partitioning of adaptive filter algorithms for distribution to multiple processors are examined. Two architectures for the multiprocessing implementation of the fast Kalman and the FAEST FIR adaptive filters are presented. The use of the TMS324C40 programmable digital signal processor for the implementation of the multiprocessing architectures presented is investigated

Keywords

Kalman filters; adaptive filters; digital filters; digital signal processing chips; least squares approximations; parallel processing; FAEST FIR adaptive filters; TMS324C40 programmable digital signal processor; fast Kalman filter; least squares adaptive filters; multiple processors; partitioning; Adaptive filters; Computational complexity; Digital filters; Filtering algorithms; Finite impulse response filter; Kalman filters; Least squares methods; Partitioning algorithms; Sampling methods; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0593-0

Type

conf

DOI

10.1109/ISCAS.1992.230561

Filename

230561