Title : 
The application of sampling theorem of multiwavelet subspaces
         
        
            Author : 
Xu, Yan-xin ; Chen, Jing-ren ; Luo, Hui
         
        
            Author_Institution : 
Dept. of Math., Harbin Norm Univ., Harbin
         
        
        
        
        
        
        
            Abstract : 
In this paper, Walter extended the classical Shannon sampling theorem to some wavelet subspaces. We generalize the sampling theorem for multi-wavelet subspaces to multi-wavelet subspaces with a two-scaling function of Multi Resolution Analysis (MRA) based on reproducing kernel Hilbert space. Then the reconstruction function can be expressed by multi-wavelet with two scaling function of MRA using frame theorem and Zak transform. Examples are given.
         
        
            Keywords : 
Hilbert spaces; signal reconstruction; signal resolution; signal sampling; wavelet transforms; Shannon sampling theorem; Zak transform; frame theorem; kernel Hilbert space; multiresolution analysis; multiwavelet subspace; scaling function; signal reconstruction; Hilbert space; Kernel; Mathematics; Multiresolution analysis; Pattern analysis; Pattern recognition; Sampling methods; Signal sampling; Space technology; Wavelet analysis; Frame; Multi-wavelet subspaces; Sampling; Wavelets;
         
        
        
        
            Conference_Titel : 
Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
         
        
            Conference_Location : 
Hong Kong
         
        
            Print_ISBN : 
978-1-4244-2238-8
         
        
            Electronic_ISBN : 
978-1-4244-2239-5
         
        
        
            DOI : 
10.1109/ICWAPR.2008.4635864