Hermite-Like Interpolating Refinable Function Vector and Its Application in Signal Recovering

2011 ◽  
Vol 18 (3) ◽  
pp. 517-547 ◽  
Author(s):  
Youfa Li
2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Youfa Li ◽  
Shouzhi Yang ◽  
Yanfeng Shen ◽  
Gengrong Zhang

Balanced multiwavelet transform can process the vector-valued data sparsely while preserving a polynomial signal. Yang et al. (2006) constructed balanced multiwavelets from the existing nonbalanced ones. It will be proved, however, in this paper that if the nonbalanced multiwavelets have antisymmetric component, it is impossible for the balanced multiwavelets by the method mentioned above to have symmetry. In this paper, we give an algorithm for constructing a pair of biorthogonal symmetric refinable function vectors from any orthogonal refinable function vector, which has symmetric and antisymmetric components. Then, a general scheme is given for high balanced biorthogonal multiwavelets with symmetry from the constructed pair of biorthogonal refinable function vectors. Moreover, we discuss the approximation orders of the biorthogonal symmetric refinable function vectors. An example is given to illustrate our results.


2007 ◽  
Vol 194 (2) ◽  
pp. 425-430 ◽  
Author(s):  
Changzhen Xie ◽  
Shouzhi Yang

2011 ◽  
Vol 50-51 ◽  
pp. 372-376
Author(s):  
Li Bo Cheng

Wavelet analysis has many applications in scientific areas such as computer graphics, image processing, numerical algorithms and signal denoising. In general, a wavelet is derived from a refinable function vector via a multiresolution analysis. In this paper, we presented a novel notion of generalized Hermite interpolating refinable function vector. In terms of its mask, several properties (such as interpolation property, symmetry property and approximation property) with respect to generalized Hermite interpolating refinable function vector. We shall present an example at the end of this paper.


2012 ◽  
Vol 11 (11) ◽  
pp. 1619-1625
Author(s):  
Ning Li ◽  
Heng Liu ◽  
Wei Xiang ◽  
Hui Lv

2014 ◽  
Vol 13 (6) ◽  
pp. 1503-1513 ◽  
Author(s):  
Qie Guo ◽  
Peixiang Lan ◽  
Xin Yu ◽  
Qiuju Han ◽  
Jian Zhang ◽  
...  

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