Hrirs´ Adaptive Non-Linear Approximation Model Based on Wavelet Transformation

Author

Zhang, Jie ; Wu, Zhenyang

Author_Institution

Dept. of Radio Eng., Southeast Univ., Nanjing

fYear

2005

fDate

Oct. 30 2005-Nov. 2 2005

Firstpage

1

Lastpage

4

Abstract

During the study of spatial hearing, it is requisite to consider how to properly model the acoustical characteristics of HRTFs (head-related transfer functions: HRTFs) or HRIRs (head-related impulse responses: HRIRs) corresponding to certain positions. In our work, we managed to carry through adaptive non-linear approximation in the field of wavelet transformation. The results show that, the HRIRs´ adaptive nonlinear approximation model is a more effective data reduction model, faster and averagely 5 dB better than the traditional PCA (Karhunen-Loeve transform) model based on relative error

Keywords

acoustic signal processing; approximation theory; hearing; wavelet transforms; HRIR; HRTF; acoustical characteristics; adaptive nonlinear approximation model; data reduction model; head-related impulse responses; head-related transfer functions; spatial hearing; wavelet transformation; Acoustical engineering; Auditory system; Feature extraction; Filters; Karhunen-Loeve transforms; Mathematical model; Position measurement; Principal component analysis; Spline; Transfer functions; HRIRs; adaptive model; wavelet transformation;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 2005 IEEE 7th Workshop on

Conference_Location

Shanghai

Print_ISBN

0-7803-9288-4

Electronic_ISBN

0-7803-9289-2

Type

conf

DOI

10.1109/MMSP.2005.248551

Filename

4013972