The cardinal orthogonal scaling function and sampling theorem in the wavelet subspaces

被引:10
|
作者
Wu, Guo-Chang [1 ,2 ]
Cheng, Zheng-Xing [1 ]
Yang, Xiao-Hui [3 ,4 ]
机构
[1] Xi An Jiao Tong Univ, Sch Sci, Xian 710049, Peoples R China
[2] Xian Int Univ, Coll Informat & Engn, Xian 710077, Peoples R China
[3] Xidian Univ, Natl Key Lab Radar Signal Proc, Xian 710071, Peoples R China
[4] Xidian Univ, Inst Informat Proc, Xian 710071, Peoples R China
关键词
sampling theorem; COSF; wavelet; lowpass filter coefficient; symmetry property; exponential decay; approximation order;
D O I
10.1016/j.amc.2007.04.039
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we derive that there is a relation between the lowpass filter coefficient and wavelet's samples in its integer points when a scaling function is a cardinal orthogonal scaling function. And we give some examples in which the lowpass filter coefficients are constructed from the wavelets. Then, we discuss the symmetry property of cardinal orthogonal scaling function, and give some useful characterizations. Therefore, we construct a family of cardinal orthogonal scaling functions with exponential decay and higher approximation order. Furthermore, some examples with exponential decay and higher approximation order are given, and they will testify our results. In the end, we deduce that there no exists a cardinal orthogonal scaling function with exponential decay, high approximation order and symmetry property in this family of cardinal orthogonal scaling functions constructed in our paper. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:199 / 214
页数:16
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