Title :
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
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;
Conference_Titel :
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-0081-5
DOI :
10.1109/MWSCAS.1990.140736
