A loudspeaker response model using tuneable approximate piecewise linear regression

Author

Zaknich, Anthony

Author_Institution

Centre for Intelligent Information Process. Syst., Western Australia Univ., Crawley, WA, Australia

Volume

4

fYear

2004

fDate

25-29 July 2004

Firstpage

2711

Abstract

A practical loudspeaker frequency response interpolation model is developed using a tuneable approximate piecewise linear regression (TAPLR) model that can provide a complete amplitude and phase response over the full frequency range of the loudspeaker. This is achieved by taking a finite number of standard one-twelfth octave frequency amplitude measurements at a one meter distance in front of the loudspeaker. The Hilbert transform can be used to compute corresponding phase response from the amplitude response.

Keywords

Hilbert transforms; frequency response; interpolation; loudspeakers; neural nets; piecewise linear techniques; Hilbert transform; loudspeaker response interpolation model; modified probabilistic neural network; octave frequency amplitude measurement; tuneable approximate piecewise linear regression; Frequency measurement; Frequency response; Intelligent systems; Interpolation; Intersymbol interference; Loudspeakers; Measurement standards; Piecewise linear approximation; Piecewise linear techniques; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on

ISSN

1098-7576

Print_ISBN

0-7803-8359-1

Type

conf

DOI

10.1109/IJCNN.2004.1381080

Filename

1381080