Orthogonal Matched Wavelets with Vanishing Moments: A Sparsity Design Approach
暂无分享,去创建一个
[1] W. Sweldens. The Lifting Scheme: A Custom - Design Construction of Biorthogonal Wavelets "Industrial Mathematics , 1996 .
[2] Gilbert Strang,et al. CONTINUITY OF THE JOINT SPECTRAL RADIUS: APPLICATION TO WAVELETS , 1995 .
[3] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[4] Shiv Dutt Joshi,et al. A new method of estimating wavelet with desired features from a given signal , 2005, Signal Process..
[5] Joël M. H. Karel,et al. A wavelet approach to cardiac signal processing for low-power hardware applications , 2009 .
[6] Ralf Peeters,et al. Parametrization of matrix-valued lossless functions based on boundary interpolation , 2010 .
[7] Daniel A Beard,et al. Identifying physiological origins of baroreflex dysfunction in salt-sensitive hypertension in the Dahl SS rat. , 2010, Physiological genomics.
[8] M. Olivi,et al. Balanced realizations of discrete-time stable all-pass systems and the tangential Schur algorithm , 1999, 1999 European Control Conference (ECC).
[9] B. Silverman,et al. The Stationary Wavelet Transform and some Statistical Applications , 1995 .
[10] S. Mallat. Multiresolution approximations and wavelet orthonormal bases of L^2(R) , 1989 .
[11] D. Donoho. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution , 2006 .
[12] Laurent Baratchart,et al. On the differential structure of matrix-valued rational inner functions , 1992 .
[13] I. Daubechies. Orthonormal bases of compactly supported wavelets , 1988 .
[14] David B. H. Tay,et al. Design of Almost Symmetric Orthogonal Wavelet Filter Bank Via Direct Optimization , 2012, IEEE Transactions on Image Processing.
[15] Philippe Ravier,et al. Robust detection of QRS complex using klauder wavelets , 2004, 2004 12th European Signal Processing Conference.
[16] P. P. Vaidyanathan,et al. Theory and design of M-channel maximally decimated quadrature mirror filters with arbitrary M, having the perfect-reconstruction property , 1987, IEEE Trans. Acoust. Speech Signal Process..
[17] Stephen P. Boyd,et al. Enhancing Sparsity by Reweighted ℓ1 Minimization , 2007, 0711.1612.
[18] Mohamed-Jalal Fadili,et al. The Undecimated Wavelet Decomposition and its Reconstruction , 2007, IEEE Transactions on Image Processing.
[19] Raghuveer M. Rao,et al. Algorithms for designing wavelets to match a specified signal , 2000, IEEE Trans. Signal Process..
[20] Truong Q. Nguyen,et al. Wavelets and filter banks , 1996 .
[21] Stéphane Mallat,et al. A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition , 2008 .
[22] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Mohamed F. Mansour. On the design of matched orthonormal wavelets with compact support , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[24] Donald M. Monro,et al. Orthonormal wavelets with balanced uncertainty , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[25] P. P. Vaidyanathan,et al. The role of lossless systems in modern digital signal processing: a tutorial , 1989 .
[26] V Kumar,et al. QRS detection using new wavelets , 2002, Journal of medical engineering & technology.
[27] Michael Elad,et al. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[28] Joël M. H. Karel,et al. Optimal discrete wavelet design for cardiac signal processing , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[29] Anubha Gupta,et al. Signal-matched wavelet design via lifting using optimization techniques , 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).
[30] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[31] D. Donoho. For most large underdetermined systems of equations, the minimal 𝓁1‐norm near‐solution approximates the sparsest near‐solution , 2006 .
[32] Ralf Peeters,et al. Towards unobtrusive in vivo monitoring of patients prone to falling , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[33] I. Daubechies,et al. Two-scale difference equations II. local regularity, infinite products of matrices and fractals , 1992 .