Sampling Theorem for Multiwavelet Subspaces

Walter G G. A sampling theorem for wavelet subspaces[J].IEEE Trans. on IT.1992, 38(2):881-884[2]Xia X G and Zhang Z. On sampling theorem, wavelets and wavelet transforms[J].IEEE Trans. on Signal Processing.1993, 41(12):3524-3535[3]Blu T and Unser M. Approximation error for quasi- interpolators and (multi)wavelet expansions[J].Applied and Computation Harmonic Analysis.1999, 6:219-251[4]Selesnick I W. Interpolating multiwavelets bases and the sampling the orem[J].IEEE Trans. on Signal Processing.1999, 47(6):1615-1621[5]Sun W S and Zhou X W. Sampling theorem for multiwavelet subspaces[J].Chinese Science Bulletin.1999, 44(14):1283-1286[6]Jia C Y and Gao X P. A general sampling theorem for multiwavelet subspaces. Science in China(Series F), 2002, 45(5): 365-372.[7]Scholkopf B, Mika S, and Burges C J C, et al.. Input space vs. feature space in kernel-based methods. IEEE Trans. on Neural Networks, 1999, 10(5): 1000-1017.[8]Plonka G and Strela V. Construction of multi-scaling functions with approximation and symmetry[J].SIAM J. Math. Anal.1998, 29(2):1-31[9]Chui C K and Lian J. A study of orthonornal multi-wavelets[J].Appl. Numer. Math.1996, 20(3):273-298