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

摘要

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