THE FLEXIBLE GABOR-WAVELET TRANSFORM FOR CAR CRASH SIGNAL ANALYSIS

被引：17
|
作者：
Onchis, Darian M. [1 ]
Suarez Sanchez, Esperanza M. [2 ]
机构：
[1] Univ Vienna, Inst Math, Numer Harmon Anal Grp, A-1090 Vienna, Austria
[2] Univ Seville, Dept Appl Math 1, E-41012 Seville, Spain
来源：
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 2009年 / 7卷 / 04期
关键词：
Adaptive time-frequency transform; alpha-modulation spaces; signal processing; numerical algorithms; short-time Fourier transform; TIME-FREQUENCY REPRESENTATION; SPACES;
D O I：
10.1142/S0219691309003045
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper is concerned with the spectral decomposition and the adaptive analysis of data coming from car crash simulations. The mathematical ingredient of the proposed signal processing technique is the flexible Gabor-wavelet transform or the alpha-transform that reliably detects both high and low frequency components of such complicated short-time signals. We go from the functional treatment of this wavelet-type transform to its numerical implementation and we show how it can be used as an improved tool for spectral investigations compared to the short-time Fourier transform or the classical wavelet transform.
引用
收藏
页码：481 / 490
页数：10
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