文件列表:

multiwavelet\coef.m (13295, 1998-11-26)
multiwavelet\coef_dcov1D.m (3223, 1998-10-12)
multiwavelet\coef_dcov2D.m (26353, 1998-10-12)
multiwavelet\coef_prep.m (3373, 1998-11-10)
multiwavelet\coef_thadj.m (5480, 1998-10-12)
multiwavelet\Copyright.txt (613, 1998-10-12)
multiwavelet\covm1D_appe.m (1447, 1998-10-09)
multiwavelet\covm1D_rrpe.m (1192, 1998-10-12)
multiwavelet\dec1D_pe.m (2324, 1998-10-09)
multiwavelet\dec2D_pe.m (1662, 1998-10-09)
multiwavelet\example1D.m (5812, 1998-11-26)
multiwavelet\keepnlarge.m (1360, 1998-10-12)
multiwavelet\multiplot.m (1169, 1998-11-10)
multiwavelet\MWMP_list.m (2933, 1998-11-04)
multiwavelet\postp1D_appe.m (1366, 1998-10-09)
multiwavelet\postp1D_rr.m (1038, 1998-10-12)
multiwavelet\postp2D_appe.m (1098, 1998-10-09)
multiwavelet\postp2D_rr.m (1279, 1998-10-12)
multiwavelet\prep1D_appe.m (1401, 1998-10-12)
multiwavelet\prep1D_rr.m (1164, 1998-10-09)
multiwavelet\prep2D_appe.m (1225, 1998-10-09)
multiwavelet\prep2D_rr.m (1287, 1998-10-09)
multiwavelet\rec1D_pe.m (3419, 1998-10-09)
multiwavelet\rec2D_pe.m (1656, 1998-10-09)
multiwavelet\simpcomp2D.m (3199, 1998-10-12)
multiwavelet\th2D.m (4975, 1998-10-12)
multiwavelet\thresh.m (2227, 1998-10-12)
multiwavelet\thresh_decor1D.m (2119, 1998-10-12)
multiwavelet\thresh_decor2D.m (3816, 1998-10-09)
multiwavelet\thresh_vec1D.m (1799, 1998-10-09)
multiwavelet\thresh_vec2D.m (3457, 1998-10-09)
multiwavelet\transop.m (1657, 1998-10-09)
multiwavelet (0, 2013-09-25)

MWMP Multiwavelet MATLAB Package Author: Vasily Strela strela@math.dartmouth.edu http://math.dartmouth.edu/~strela MWMP is a library of Matlab 5 routines for multiwavelet analysis. Its aim is to give researchers an opportunity to try multiwavelets in practice. MWMP can be used for comparison of scalar and multiple filters in image compression and signal denoising. MWMP offers a variety of builtin scalar- and multi- filters (all filters are considered to be matrix). Several types of prefilters are included. For descriptions of available filters and their properties see functions coef and coef_prep. New sets of coefficients can be easily added. In addition to routines implementing preprocessing and discrete multiwavelet transform (in 1 and 2 dimensions) the package contains a simple compression function and several scripts for signal denoising via thresholding. For description of multiwavelet thresholding methods see reference [SW] below. There also is a routine which plots multiscaling and multiwavelet functions and a routine which computes the transition operator. All scripts in MWMP start with a help section describing input and output parameters and giving an example of usage. Often there are references to the literature from the list below. Function example1D demonstrates how to use the transform functions. More complicated examples can be found in scripts simpcomp2D (image compression via retaining given number of largest coefficients) and th2D (denoising via thresholding). To install the package on a UNIX machine: 1. Download the archive MWMP.tar.gz from http://math.dartmouth.edu/~strela/MWMP 2. Uncompress the archive 3. Create a directory and move uncompressed archive there 4. tar -xvf MWMP.tar 5. Modify your Matlab path to include the directory To install the package on a DOS machine: 1. Download the archive MWMP.zip from http://math.dartmouth.edu/~strela/MWMP 2. Create a directory and move compressed archive there 4. pkunzip MWMP.zip 5. Modify your Matlab path to include the directory All files are also available in ASCII format at http://math.dartmouth.edu/~strela/MWMP/MWMP-SOURCE To view the list and short descriptions of all available routines, start Matlab 5 and type help MWMP_list To obtain more information on a specific _function_ (including description of input and output parameters, example of usage), type help _function_ In order to speed up the computations we recommend to compile routines in to mex files using Matlab function mcc. Please send your questions, comments, and corrections to Vasily Strela strela@math.dartmouth.edu Acknowledgments: This software was partially developed while Vasily Strela was with the Statistics Section, Imperial College of Science, Technology and Medicine supported by EPSRC grant GR/L11182. Author is very grateful for this support. Thanks to Fritz Keinert for providing precise coefficients for 'la8' and 'bi7'. LIST OF LITERATURE: [CL] C. K. Chui and J. A. Lian, "A study of orthonormal multiwavelets", Texas A&M University CAT Report 351 (1995). [D] I. Daubechies, "Ten Lectures on Wavelets", SIAM, Philadelphia (1992). [DJ] D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage", Biometrica 81 (1994) 425-455. [DS] T. R. Downie and B. W. Silverman, "The discrete multiple wavelet transform and thresholding methods", IEEE Trans. on SP, to appear. [GHM] J. S. Geronimo, D. P. Hardin, and P. R. Massopust, "Fractal functions and wavelet expansions based on several functions", J. Approx. Theory 78 (1994) 373-401. [HR] D. P. Hardin and D. W. Roach, "Multiwavelet prefilters I: Orthogonal prefilters preserving approximation order p <= 2", preprint (1997). [HSS] C. Heil, G. Strang, and V. Strela, "Approximation by translates of refinable functions", Numerische Mathematik 73 (1996) 75-94. [J] Q. Jiang, "On the regularity of matrix refinable functions", SIAM J. Math. Anal., to appear. [Se] I. Selesnick, "Cardinal Multiwavelets and the Sampling Theorem", prerprint (19***). [STT] L.-X. Shen, H. H. Tan, and J. Y. Tham, "Symmetric-antisymmetric orthonormal multiwavelets and related scalar wavelets", preprint (1997). [SS] G. Strang and V. Strela, "Short wavelets and matrix dilation equations", IEEE Trans. on SP 43 (1995) 108-115. [S] V. Strela, "A note on Construction of biorthogonal multi-scaling functions", in Contemporary Mathematics, A. Aldroubi and E. B. Lin (eds.), AMS (19***) 149-157. [SHSTH] V. Strela, P. Heller, G. Strang, P. Topiwala, and C. Heil, "The application of multiwavelet filter banks to signal and image processing", IEEE Trans. on Image Proc. (19***). [SW] V. Strela and A. T. Walden, "Signal and Image Denoising via Wavelet Thresholding: Orthogonal and Biorthogonal, Scalar and Multiple Wavelet Transforms", Imperial College, Statistics Section, Technical Report TR-***-01 (19***). [SW1] V. Strela and A. T. Walden, "Orthogonal and biorthogonal multiwavelets for signal denoising and image compression", SPIE Proc. 3391 AeroSense ***, Orlando, Florida, April 19***. [TS] R. Turcajova and V. Strela, " Smooth Hermite spline multiwavelets", in preparation. [XGHS] X.-G. Xia, J. S. Geronimo, D. P. Hardin, and B. W. Suter, "Design of prefilters for discrete multiwavelet transforms", IEEE Trans. on SP, 44 (1996) 25-35.

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