m-Band orthogonal vector-valued multiwavelets for vector-valued signals

In this paper, we introduce and study vector-valued multiresolution analysis with multiplicity r (VMRA) and m-band orthogonal vector-valued multiwavelets which have potential to form a convenient tool for analyzing vector-valued signals. Necessary conditions for orthonormality of vector-valued multiwavelets are presented in terms of filter banks. The existence of m-band vector-valued orthonormal multiwavelets is proved by means of bi-infinite matrix. The relationship between vector-valued multiwavelets and traditional multiwavelets are considered, and it is found that multiwavelets can be derived from row vector of vector-valued multiwavelets. The construction of vector-valued multiwavelets from several scalar-valued wavelets is proposed. Furthermore, we show how to construct vector-valued multiwavelets by using paraunitary multifilter bank, in particular, we give formulations of highpass filters when its corresponding lowpass filters satisfy certain conditions and m=2. An example is provided to illustrate this algorithm. At last, we present fast vector-valued multiwavelets transform in form of bi-infinite vector.

[1]  S. Mallat Multiresolution approximations and wavelet orthonormal bases of L^2(R) , 1989 .

[2]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[3]  Peter N. Heller,et al.  Theory of regular M-band wavelet bases , 1993, IEEE Trans. Signal Process..

[4]  Xiang-Gen Xia,et al.  Vector-valued wavelets and vector filter banks , 1996, IEEE Trans. Signal Process..

[5]  Xiang-Gen Xia,et al.  Multirate filter banks with block sampling , 1996, IEEE Trans. Signal Process..

[6]  Charles A. Micchelli,et al.  Regularity of multiwavelets , 1997, Adv. Comput. Math..

[7]  L. Schumaker,et al.  Surface Fitting and Multiresolution Methods , 1997 .

[8]  Yuesheng Xu,et al.  Reconstruction and Decomposition Algorithms for Biorthogonal Multiwavelets , 1997, Multidimens. Syst. Signal Process..

[9]  Zuowei Shen Refinable function vectors , 1998 .

[10]  K. Lau Advances in wavelets , 1999 .

[11]  Qingtang Jiang Multivariate matrix refinable functions with arbitrary matrix dilation , 1999 .

[12]  Jo Yew Tham,et al.  Symmetric–Antisymmetric Orthonormal Multiwavelets and Related Scalar Wavelets☆☆☆ , 2000 .

[13]  Qingtang Jiang,et al.  Parameterization of m‐channel orthogonal multifilter banks , 2000, Adv. Comput. Math..

[14]  I. Yamada,et al.  BIORTHOGONAL UNCONDITIONAL BASES OF COMPACTLY SUPPORTED MATRIX VALUED WAVELETS , 2001 .

[15]  A. Walden,et al.  Wavelet analysis of matrix–valued time–series , 2002, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[16]  Mariantonia Cotronei,et al.  Wavelets for multichannel signals , 2002, Adv. Appl. Math..

[17]  Li Hua,et al.  Wavelet transforms for vector fields using omnidirectionally balanced multiwavelets , 2002, IEEE Trans. Signal Process..

[18]  Qingjiang Chen,et al.  A study on compactly supported orthogonal vector-valued wavelets and wavelet packets , 2007 .

[19]  On Stability of Scaling Vectors , 2007 .

[20]  Zhengxing Cheng,et al.  Construction of a class of compactly supported orthogonal vector-valued wavelets , 2007 .