Title
A Spatial Hearing Model Based On Reconstruction From Wavelet Transform Modulus Maxima
Abstract
In the research of spatial hearing and realization of virtual auditory space, it is important to accurately model the acoustical characteristics of HRTFs (Head-related Transfer Functions) or HRIRs (Head-related Impulse Responses). In our study, for the sake of modeling HRIRs more truthfully, aiming at HRTFs' characteristics in time domain, we managed to carry through adaptive non-linear approximation in the field of wavelet transformation and introduced a new spatial hearing approximation model based on translation-invari ant a' trous algorithm and reconstruction from modulus maxima. And the simulation results show that, this is a more effective HRIRs' model, averagely 7.7dB better than the traditional PCA (Principal Component Analysis) approximation based on relative MSE criterion.
Year
DOI
Venue
2006
null
2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13
Keywords
Field
DocType
principal component analysis,transfer functions,signal reconstruction,head related transfer function,approximation theory,wavelet transform,acoustical engineering,time domain,signal analysis,wavelet transforms,approximation algorithms,weed management,impulse response
Time domain,Approximation algorithm,Pattern recognition,Approximation theory,Transfer function,Artificial intelligence,Signal reconstruction,Principal component analysis,Mathematics,Wavelet,Wavelet transform
Conference
Volume
Issue
ISSN
5
null
1520-6149
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Jie Zhang100.34
Zhenyang Wu215417.52