Title :
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
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;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1381080
