ON THE ASYMPTOTIC CONVERGENCE OF B-SPLINE WAVELETS TO GABOR FUNCTIONS

被引:191
作者
UNSER, M
ALDROUBI, A
EDEN, M
机构
[1] Biomedical Engineering and Instrumentation Program, National Center for Research Resources, National Institutes of Health, Bethesda, MD 20892, Building 13
关键词
WAVELET TRANSFORM; GABOR TRANSFORM; UNCERTAINTY PRINCIPLE; POLYNOMIAL SPLINE; BETA-SPLINES; TIME-FREQUENCY LOCALIZATION;
D O I
10.1109/18.119742
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A family of nonorthogonal polynomial spline wavelet transforms is considered. These transforms are fully reversible and can be implemented efficiently. The corresponding wavelet functions have a compact support. It is proven that these B-spline wavelets converge to Gabor functions (modulated Gaussian) pointwise and in all L(p)-norms with 1 less-than-or-equal-to p < + infinity as the order of the spline (n) tends to infinity. In fact, the approximation error for the cubic B-spline wavelet (n = 3) is already less than 3%; this function is also near optimal in terms of its time/frequency localization in the sense that its variance product is within 2% of the limit specified by the uncertainty principle.
引用
收藏
页码:864 / 871
页数:8
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