Title :
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
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;
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
DOI :
10.1109/ISCAS.1992.230561
