Automated placement of transducers for active noise control: performance measures

Author

Olkin, Julia A. ; Heck, Larry P. ; Naghshineh, Koorosh

Author_Institution

SRI Int., Menlo Park, CA, USA

Volume

2

fYear

1996

fDate

7-10 May 1996

Firstpage

969

Abstract

In our previous work, we developed a new actuator placement algorithm that is capable of selecting the best actuators for active noise control problems over a broadband of frequencies. The actuator selection algorithm is based on a novel extension of the Householder QR subset selection algorithm. In this paper, we improve our algorithm by incorporating seven new measures of actuator performance. The new measures, based on different matrix norms and functions of the actuator frequency responses, yield active noise control systems with improved performance and robustness

Keywords

acoustic noise; acoustic signal processing; acoustic transducer arrays; active noise control; array signal processing; frequency response; matrix algebra; Householder QR subset selection algorithm; active noise control systems; actuator frequency responses; actuator performance; actuator placement algorithm; automated transducers placement; matrix functions; matrix norms; performance measures; system performance; system robustness; Acoustic noise; Active noise reduction; Actuators; Additive noise; Automatic control; Control systems; Frequency; Noise measurement; Transducers; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.543284

Filename

543284