A systolic mapping for the estimator block of an adaptive vibration/sound canceller

Author

Mookerjee, Purusottam ; Engelhart, Michele

Author_Institution

Dept. of Electr. Eng., Villanova Univ., PA, USA

fYear

1990

fDate

12-14 Aug 1990

Firstpage

393

Abstract

A class of an actively adaptive algorithm, which reduces unwanted vibration/sound in a system, consists of a cascade of a recursive least squares parameter estimator and a controller block. A linear model with unknown parameters is investigated for this system. A parallel VLSI implementation is developed for the recursive least squares parameter estimator block required in this context. This would provide enhanced processing speed, much sought for in real-time applications

Keywords

VLSI; digital signal processing chips; least squares approximations; parallel architectures; parameter estimation; actively adaptive algorithm; estimator block; linear model; parallel VLSI implementation; processing speed; real-time applications; recursive least squares parameter estimator; sound canceller; systolic mapping; vibration canceller; Adaptive algorithm; Application software; Equations; Least squares approximation; Parameter estimation; Recursive estimation; Systolic arrays; Very large scale integration; Vibration control; Vibration measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on

Conference_Location

Calgary, Alta.

Print_ISBN

0-7803-0081-5

Type

conf

DOI

10.1109/MWSCAS.1990.140736

Filename

140736