Title | ||
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A Spatial Hearing Model Based On Reconstruction From Wavelet Transform Modulus Maxima |
Abstract | ||
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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 |
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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 Zhang | 1 | 0 | 0.34 |
Zhenyang Wu | 2 | 154 | 17.52 |