On the asymptotic convergence of B-spline wavelets to Gabor functions 论文
1992IEEE Transactions on Information Theory引用 283
Image and Signal Denoising MethodsMathematical Analysis and Transform MethodsDigital Filter Design and Implementation
详细信息
- 发表期刊/会议
- IEEE Transactions on Information Theory
- 发表日期
- 1992-03-01
- 发表年份
- 1992
关键词
Image and Signal Denoising MethodsMathematical Analysis and Transform MethodsDigital Filter Design and Implementation
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/sub p/-norms with 1<or=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 then 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.<<ETX>>