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	ftp://cml.rice.edu/pub/reports/9203.ps.Z, 19930927 Wavelet Interpolation and Approximate Solutions of Elliptic Partial Differential Equations Raymond O. Wells, Jr. Xiaodong Zhou August 30, 1993
	ftp://cml.rice.edu/pub/reports/9214.ps.Z, 19930927 Representing the geometry of domains by wavelets with applications to partial differential equations Raymond O. Wells, Jr. Xiaodong Zhou Department of Mathematics, Rice University Houston, TX 77251-1892
	ftp://cml.rice.edu/pub/reports/9102.ps.Z, 19930927 Wavelet Calculus and Finite Difference Operators Kent McCormick and Raymond O. Wells, Jr. March 17, 1993
	ftp://cml.rice.edu/pub/reports/9109.ps.Z, 19930927 Wavelet Variations on the Shannon Sampling Theorem Hubert Bray Kent McCormick R. O. Wells, Jr. Xiao-dong Zhou July 26, 1993 Contents 1 Introduction 2 2 The Shannon Sampling Theorem 4 3 A Wavelet Varation of the Shannon Sampling Theorem 6 4 A Variational Principle: Existence of the Implicit Coefficients
	ftp://cml.rice.edu/pub/reports/9304.ps.Z, 19930927 Semi-algebraic multi-level methods based on wavelet decompositions I: Application to two-point boundary value problems Andreas Rieder Rice University Department of Mathematics Houston, TX 77251 April 1993
	ftp://cml.rice.edu/pub/reports/9105.ps.Z, 19931020 Table 3. The moments of (t) M = 5 and N = MK N k m0;k d0;k 10 1.0000000e+00 1.0000000e+00 1 6.0961180e-01 2.4384472e+00 2 3.7162654e-01 5.9460247e+00 3 9.3544517e-02 -1.9933553e+00 4 -3.6313857e-01 -2.3590840e+02 15 1.0000000e+00 1.0000000e+00 1 7.5803488e-01 3.0321395e+00 2 5.7461687e-01 9.1938700e+00
	ftp://cml.rice.edu/pub/reports/9219.ps.Z, 19931020 1 2 -2 2 4 (a) 10 20 30 0.2 0.4 0.6 0.8 1 (b) 1 2 -5 5 (c) 10 20 30 0.2 0.4 0.6 0.8 1 (d) Figure 5. MWTF Example: Type 1, M = 2, N = 4. (a) Scaling Function (t) (b) Fourier transform ^0(!) (c) Wavelet 1(t) and (d) Fourier Transform ^0(!) z 1 z 1 #M
	ftp://cml.rice.edu/pub/reports/9207.ps.Z, 19931020 R. A. Gopinath and C. S. Burrus. On CosineModulated Wavelet Orthonormal Bases. Technical Report CML TR92-06, Computational Mathematics Laboratory, Rice University, Mar 1992. IEEE Trans. in Image Processing, to appear. R. A. Gopinath, J. E. Odegard, and C. S. Burrus. On The Optimal And Robust
	ftp://cml.rice.edu/pub/reports/9302.ps.Z, 19931020 To appear in IEEE Trans. in SP special issue on Wavelets December '93 THEORY OF REGULAR M-BAND WAVELET BASES P. Steffen, P. Heller, R. A. Gopinath and C. S. Burrus CML TR-93-02 22nd March 93 THEORY OF REGULAR M-BAND WAVELET BASES P. Steffen , P. Hellery, R. A. Gopinathzand C. S. Burrusx CML TR-93-02
	ftp://cml.rice.edu/pub/reports/9120.ps.Z, 19931020 Appears in Wavelets: A Tutorial in Theory and Applications, ed. C.K.Chui, Academic Press WAVELETS AND FILTER BANKS R.A.Gopinath and C.S.Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251 CML TR-91-20 30th September '91 WAVELET TRANSFORMS AND FILTER BANKS
	ftp://cml.rice.edu/pub/reports/9125.ps.Z, 19931020 To appear in IEEE Trans. in SP ON UPSAMPLING, DOWNSAMPLING AND RATIONAL SAMPLING RATE FILTER BANKS R.A.Gopinath and C.S.Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251 CML TR-91-25 25th November '91, Revised 17th December '92 ON UPSAMPLING, DOWNSAMPLING AND
	ftp://cml.rice.edu/pub/reports/9223.ps.Z, 19931020 To be Submitted to IEEE Transactions in Signal Processing FACTORIZATION APPROACH TO UNITARY TIME-VARYING FILTER BANKS R.A.Gopinath and C.S.Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251 CML TR-92-23 3rd December 1992 FACTORIZATION APPROACH TO TIME-VARYING
	ftp://cml.rice.edu/pub/reports/9217.ps.Z, 19931020 Submitted to IEEE Transactions in Circuits and Systems - Sept '92 UNITARY FIR FILTER BANKS AND SYMMETRY R.A.Gopinath and C.S.Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251 CML TR-92-17 20th June '92 UNITARY FIR FILTER BANKS AND SYMMETRY R.A.Gopinath and
	ftp://cml.rice.edu/pub/reports/9208.ps.Z, 19931020 Equivalently, X k h0i(k)g0j (M l k) = ffi(i j)ffi(l); (45) and the new filter bank is PR. When (N;M) <> 1, the above relationship does not hold, and therefore, in general, the new filter bank is not PR. 2 Remark: Even if (N; M) <> 1, the new filter bank may be PR. For example, if Hp(z) = I, then,
	ftp://cml.rice.edu/pub/reports/9119.ps.Z, 19931020 thus making the recursion, Mi(z) = Mi 1(zM) + M 1 X k=1 z kA0;k(zM)Mi 1(zM): (41) This formula makes transparent exactly what happens in a recursive computation of the correlation functions. At every stage i, we have the Z-transform at points M in of the appropriate function. In going to the (i + 1)st
	ftp://cml.rice.edu/pub/reports/9106.ps.Z, 19931020 schemes. The interpolating class corresponding to l, viz., F l is described by, x l(t) = P n x(n) l(t): Let Wl = Span f l(t n)g. Then, the interpolation with l(t) is easily seen to equivalent to the Wavelet-Galerkin approximation to the shift operator on L2(IR) restricted to Wl. Moreover, in the
	ftp://cml.rice.edu/pub/reports/9310.ps.Z, 19931216 On the Robustness of the Damped V -cycle of the Wavelet Frequency Decomposition Multigrid Method Andreas Rieder 1 Xiaodong Zhou 1 December 15, 1993
	ftp://cml.rice.edu/pub/reports/9202.ps.Z, 19940103 Wavelet Solutions for the Dirichlet Problem Raymond O. Wells, Jr. Xiaodong Zhou October 13, 1993
	ftp://cml.rice.edu/pub/reports/9406.ps.Z, 19940301 DESIGN OF LINEAR PHASE COSINE MODULATED FILTER BANKS FOR SUBBAND IMAGE COMPRESSION J. E. Odegard, R. A. Gopinath, C. S. Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251
	ftp://cml.rice.edu/pub/reports/9308.ps.Z, 19940308 SOME THOUGHTS ON LEAST SQUARED ERROR OPTIMAL WINDOWS R.A.Gopinath Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251
	ftp://cml.rice.edu/pub/reports/9314.ps.Z, 19940308 FACTORIZATION APPROACH TO TIME-VARYING FILTER BANKS AND WAVELETS R.A.Gopinath Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251
	ftp://cml.rice.edu/pub/reports/9301.ps.Z, 19940308 R. A. Gopinath and C. S. Burrus. State-space Approach to Multiplicity M Orthonormal Wavelet Bases. Technical Report CML TR91-22, Rice University, 1991. R. A. Gopinath and C. S. Burrus. Wavelets and Filter Banks. In C. K. Chui, editor, Wavelets: A Tutorial in Theory and Applications, pages
	ftp://cml.rice.edu/pub/reports/9206.ps.Z, 19940308 Submitted to IEEE Transactions in Image Processing - Revised October 4, '93 ON COSINE-MODULATED WAVELET ORTHONORMAL BASES R.A.Gopinath and C.S.Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251 CML TR-92-6 4th March '92, Revised October 4, '93 ON
	ftp://cml.rice.edu/pub/reports/9307.ps.Z, 19940309 A Wavelet Approach to Robust Multilevel Solvers for Anisotropic Elliptic Problems Andreas Rieder 1 Raymond O. Wells, Jr. 1 Xiaodong Zhou 1 March 9, 1994
	ftp://cml.rice.edu/pub/reports/9306.ps.Z, 19940309 A Wavelet Multigrid Preconditioner for Dirichlet Boundary-Value Problems in General Domains Roland Glowinski1 Andreas Rieder1y Raymond O. Wells, Jr.1 Xiaodong Zhou1 March 9, 1994
	ftp://cml.rice.edu/pub/reports/9201.ps.Z, 19940325 Wavelet and Finite Element Solutions for the Neumann Problem Using Fictitious Domains Roland Glowinski T. W. Pan Raymond O. Wells, Jr. Xiaodong Zhou March 10, 1994 Contents 1 Introduction 2 2 The Neumann Problem for Elliptic Operators: Variational Formulations 3 2.1 Generalities : : : : : : : : : : : :
	ftp://cml.rice.edu/pub/reports/9205.ps.Z, 19940420 Appears in: IEEE Trans. on CAS II - April 1994 OPTIMAL WAVELET REPRESENTATION OF SIGNALS AND THE WAVELET SAMPLING THEOREM R. A. Gopinath, J. E. Odegard, and C. S. Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251 CML TR92-05 15th April '92 Revised Aug 12 '93
	ftp://cml.rice.edu/pub/reports/9408.ps.Z, 19940421 SPECKLE REDUCTION BY WAVELET THRESHOLDING COMBINED WITH (SPATIAL) POLARIMETRIC WHITENING OF SAR FOR APPLICATIONS TO ATD/R J. E. Odegard, H. Guo, M. Lang, C. S. Burrus, R. O. Wells, Jr. Computational Mathematics Laboratory, Rice University, Houston, TX-77251 L. M. Novak, M. Hiett MIT Lincoln Laboratory,
	ftp://cml.rice.edu/pub/reports/9410.ps.Z, 19940604 Adaptive Wave Propagation Modeling Raymond O. Wells, Jr. Department of Mathematics, Rice University Houston, TX 77251-1892
	ftp://cml.rice.edu/pub/reports/9412.ps.Z, 19940604 RECENT ADVANCES IN WAVELET TECHNOLOGY R. O. Wells, Jr. Computational Mathematics Laboratory Department of Mathematics Rice University Houston, Texas 77251 wells@rice.edu March 24, 1994 1 INTRODUCTION AND OVERVIEW In this paper I want to report on some recent developments in wavelet technology and, in
	ftp://cml.rice.edu/pub/reports/9413.ps.Z, 19940616 On the Wavelet Frequency Decomposition Method Andreas Rieder Raymond O. Wells, Jr. Xiaodong Zhou Computational Mathematics Laboratory Mathematics Department, Rice University Houston, TX 77251
	ftp://cml.rice.edu/pub/reports/9409.ps.Z, 19940616 Multiscale Applications of Wavelets to Solutions of Partial Differential Equations R. O. Wells, Jr. Department of Mathematics Rice University Houston, TX 77251 In 1988 Daubechies' fundamental paper on wavelets appeared. In this paper we find for the first time a parametrized family of orthonormal
	ftp://cml.rice.edu/pub/reports/9414.ps.Z, 19940617 Glowinski R., Rieder A., Wells R.O., Zhou X. A Preconditioned CG{Method for Wavelet{Galerkin Discretizations of Elliptic Problems We present an efficient solver for a class of linear systems arising by a wavelet{Galerkin discretization of the following elliptic model problem u + u = f in ! ae IR2; u = g
	ftp://cml.rice.edu/pub/reports/9405.ps.Z, 19940915 Enhancement of Decompressed Images at Low Bit Rates R. A. Gopinath IBM T. J. Watson Research, #J2-J05, 30 Saw Mill River Road, Hawthorne, NY 10542 M. Langy, H. Guozand J. E. Odegardx Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251 Paper presented and published in
	ftp://cml.rice.edu/pub/reports/9415.ps.Z, 19940915 WAVELET-BASED POST-PROCESSING OF LOW BIT RATE TRANSFORM CODED IMAGES R. A. Gopinath IBM T. J. Watson Research, #J2-J05, 30 Saw Mill River Road, Hawthorne, NY 10542 M. Langy, H. Guozand J. E. Odegardx Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251
	ftp://cml.rice.edu/pub/reports/9402.ps.Z, 19940915 WAVELET BASED SPECKLE REDUCTION WITH APPLICATION TO SAR BASED ATD/R H. Guo, J. E. Odegard, M. Lang, R. A. Gopinath, I. W. Selesnick and C. S. Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251
	ftp://cml.rice.edu/pub/reports/9309.ps.Z, 19941003 The Spectral Theory of Multiresolution Operators and Applications P. N. Heller R. O. Wells, Jr. 1 Introduction In this article we explore the notion of the multiresolution operator, its spectral theory, and applications. This operator (also called the transition operator) has appeared as a fundamental
	ftp://cml.rice.edu/pub/markus/pub/ECE_TR_9308.ps.Z, 19941027 A New and Efficient Program for Finding all Polynomial Roots Markus Lang , Electrical and Computer Engineering Department Rice University, Houston, TX 77251, lang@dsp.rice.edu Bernhard-Christian Frenzel, Sonnebergerstr. 11 90765 F urth, Germany Technical Report # 9308 April 15, 1994
	ftp://cml.rice.edu/pub/reports/9107.ps.Z, 19941027 OPTIMAL WAVELETS FOR SIGNAL DECOMPOSITION AND THE EXISTENCE OF SCALE-LIMITED SIGNALS J. E. Odegard R.A. Gopinath C. S. Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251
	ftp://cml.rice.edu/pub/reports/9416.ps.Z, 19941205 Image enhancement by nonlinear wavelet processing J. E. Odegard Department of Electrical and Computer Engineering { MS366, Rice University, Houston, TX 77251-1892 email: odegard@rice.edu; w3: http://jazz.rice.edu
	ftp://cml.rice.edu/pub/reports/CML9503.ps.Z, 19950206 Nonlinear processing of a shift invariant DWT for noise reduction M. Lang , H. Guoy, J. E. Odegardz, and C. S. Burrus x Department of Electrical and Computer Engineering, Rice University, Houston, TX 77251-1892 R. O. Wells{ Department of Mathematics, Rice University, Houston, TX 77251-1892 Paper
	ftp://cml.rice.edu/pub/reports/9404.ps.Z, 19950301 NONLINEAR WAVELET PROCESSING FOR ENHANCEMENT OF IMAGES J.E. Odegard, M. Lang, H. Guo, R.A. Gopinath, C.S. Burrus Department of Electrical and Computer Engineering, Rice University, Houston, TX-77251 CML TR94-04 May 1994 NONLINEAR WAVELET PROCESSING FOR ENHANCEMENT OF IMAGES J.E. Odegard, M. Lang, H.
	ftp://cml.rice.edu/pub/reports/CML9505.ps.Z, 19950316 Optimally smooth symmetric quadrature mirror filters for image coding Peter Niels Heller and Jerome M. Shapiro Aware, Inc. Cambridge, MA 02142 R. O. Wells, Jr. Rice University Houston, TX 77251
	ftp://cml.rice.edu/pub/reports/CML9502.ps.Z, 19950320 Simultaneous speckle reduction and data compression using best wavelet packet bases with application to SAR based ATD/R D. Wei, H. Guo, J. E. Odegard, M. Lang, and C. S. Burrus Department of Electrical and Computer Engineering Rice University, Houston, TX 77251-1892 January 25, 1995 Paper accepted for
	ftp://cml.rice.edu/pub/reports/CML9512.ps.Z, 19950622 SIMULTANEOUS NOISE REDUCTION AND SAR IMAGE DATA COMPRESSION USING BEST WAVELET PACKET BASIS D. Wei J. E. Odegard H. Guo M. Lang C. S. Burrus Department of Electrical and Computer Engineering Rice University, Houston, TX 77251{1892, USA
	ftp://cml.rice.edu/pub/reports/CML9513.ps.Z, 19950622 OPTIMAL WAVELET THRESHOLDING FOR VARIOUS CODING SCHEMES Dong Wei C. S. Burrus Department of Electrical and Computer Engineering Rice University, Houston, TX 77251{1892, USA
	ftp://cml.rice.edu/pub/reports/CML9508.ps.Z, 19950622 Wavelet Based SAR Speckle Reduction and Image Compression J. E. Odegard, H. Guo, M. Lang, C. S. Burrus, R. O. Wells, Jr. Computational Mathematics Laboratory Rice University, Houston, TX-77251 L. M. Novak, M. Hiett MIT Lincoln Laboratory Lexington, MA-02173 June 5, 1995 Paper accepted for the
	ftp://cml.rice.edu/pub/reports/CML9511.ps.Z, 19950622 Quantization Noise Reduction Using Wavelet Thresholding for Various Coding Schemes D. Wei, M. Lang, H. Guo, J. E. Odegard, and C. S. Burrus Department of Electrical and Computer Engineering Rice University, Houston, TX 77251-1892 June 14, 1995 Paper accepted for the Proceedings of SPIE, Mathematical
	ftp://cml.rice.edu/pub/reports/CML9605.ps.Z, 19960607 Evaluation of a new wavelet based compression algorithm for synthetic aperture radar images Jun Tian, Haitao Guo, Raymond O. Wells, Jr., C. Sidney Burrus, and Jan E. Odegard Computational Mathematics Laboratory, Rice University Houston, Texas 77251-1892
	ftp://cml.rice.edu/pub/odegard/evans/old/b8-10.ps.Z, 19960613 Lincoln North Building, Lincoln Massachusetts Single Channel SAR: VV image CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Single Channel SAR: Wavelet Denoised VV image CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Single Channel SAR: Shift Invariant Wavelet
	ftp://cml.rice.edu/pub/odegard/evans/b22-23.ps.Z, 19960613 Lincoln North Building, Lincoln Massachusetts JPEG Compressed PWF image: C = 15:1; MSE = 54.1 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts JPEG Compressed PWF image: C = 75:1; MSE = 136.4 CML Rice University DSP
	ftp://cml.rice.edu/pub/odegard/evans/old/b14-17.ps.Z, 19960613 Lincoln North Building, Lincoln Massachusetts Original PWF image CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed PWF image: C = 15:1; MSE = 8.3 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed PWF image: C = 75:1; MSE =
	ftp://cml.rice.edu/pub/odegard/evans/b2-4.ps.Z, 19960613 Lincoln North Building, Lincoln Massachusetts Single Channel SAR: HH image CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Single Channel SAR: Wavelet Denoised HH image CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Single Channel SAR: Shift Invariant Wavelet
	ftp://cml.rice.edu/pub/odegard/evans/old/b11-13.ps.Z, 19960613 Lincoln North Building, Lincoln Massachusetts Fully Polarimetric SAR: PWF image CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Fully Polarimetric SAR: Wavelet Denoised PWF image CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Fully Polarimetric SAR: Shift
	ftp://cml.rice.edu/pub/odegard/evans/old/b1.ps, 19960613 Lincoln North Building, Lincoln Massachusetts Aerial View CML Rice University DSP
	ftp://cml.rice.edu/pub/odegard/evans/old/b5-7.ps.Z, 19960613 Lincoln North Building, Lincoln Massachusetts Single Channel SAR: HV image CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Single Channel SAR: Wavelet Denoised HV image CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Single Channel SAR: Shift Invariant Wavelet
	ftp://cml.rice.edu/pub/reports/CML9501.ps.Z, 19960715 Vanishing Moments and Wavelet Approximation Jun Tian and Raymond O. Wells, Jr. January 9, 1995
	ftp://cml.rice.edu/pub/reports/CML9515.ps.Z, 19960813 A Lossy Image Codec Based on Index Coding Jun Tian and Raymond O. Wells, Jr. Computational Mathematics Laboratory, Rice University Houston, Texas 77251-1892, USA juntian@rice.edu, wells@rice.edu
	ftp://cml.rice.edu/pub/odegard/evans/HH2.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HH image: C = 300:1; MSE = 30.46 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HH image: C = 1200:1; MSE = 34.33 CML Rice University DSP Lincoln North Building,
	ftp://cml.rice.edu/pub/odegard/evans/old2/HV2.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HV image: C = 300:1; MSE = 30.38 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HV image: C = 1200:1; MSE = 33.68 CML Rice University DSP Lincoln North Building,
	ftp://cml.rice.edu/pub/odegard/evans/HV2.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HV image: C = 300:1; MSE = 30.38 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HV image: C = 1200:1; MSE = 33.68 CML Rice University DSP Lincoln North Building,
	ftp://cml.rice.edu/pub/odegard/evans/VV1.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel VV image: C = 15:1; MSE = 3.321 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel VV image: C = 75:1; MSE = 21.41 CML Rice University DSP Lincoln North Building, Lincoln
	ftp://cml.rice.edu/pub/odegard/evans/old2/VV2.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel VV image: C = 300:1; MSE = 30.00 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel VV image: C = 1200:1; MSE = 33.82 CML Rice University DSP Lincoln North Building,
	ftp://cml.rice.edu/pub/odegard/evans/old2/HV1.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HV image: C = 15:1; MSE = 3.754 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HV image: C = 75:1; MSE = 21.69 CML Rice University DSP Lincoln North Building, Lincoln
	ftp://cml.rice.edu/pub/odegard/evans/HH1.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HH image: C = 15:1; MSE = 3.644 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HH image: C = 75:1; MSE = 21.51 CML Rice University DSP Lincoln North Building, Lincoln
	ftp://cml.rice.edu/pub/odegard/evans/old2/HH1.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HH image: C = 15:1; MSE = 3.644 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HH image: C = 75:1; MSE = 21.51 CML Rice University DSP Lincoln North Building, Lincoln
	ftp://cml.rice.edu/pub/odegard/evans/HV1.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HV image: C = 15:1; MSE = 3.754 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HV image: C = 75:1; MSE = 21.69 CML Rice University DSP Lincoln North Building, Lincoln
	ftp://cml.rice.edu/pub/reports/CML9606.ps.Z, 19961003 IMAGE DATA PROCESSING IN THE COMPRESSED WAVELET DOMAIN Jun Tian and Raymond O. Wells, Jr. Computational Mathematics Laboratory, Rice University Houston, Texas 77251-1892, USA E-mail: juntian@rice.edu, wells@rice.edu
	ftp://cml.rice.edu/pub/odegard/evans/old2/HH2.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HH image: C = 300:1; MSE = 30.46 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel HH image: C = 1200:1; MSE = 34.33 CML Rice University DSP Lincoln North Building,
	ftp://cml.rice.edu/pub/odegard/evans/old2/VV1.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel VV image: C = 15:1; MSE = 3.321 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel VV image: C = 75:1; MSE = 21.41 CML Rice University DSP Lincoln North Building, Lincoln
	ftp://cml.rice.edu/pub/odegard/evans/VV2.ps.gz, 19961003 Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel VV image: C = 300:1; MSE = 30.00 CML Rice University DSP Lincoln North Building, Lincoln Massachusetts Wavelet Compressed Single Channel VV image: C = 1200:1; MSE = 33.82 CML Rice University DSP Lincoln North Building,
	ftp://cml.rice.edu/pub/odegard/evans/mammograms.ps.gz, 19961022 Evaluation of Automatic Detection of Microcalci cation Clusters using Compressed Digitized Mammograms A multiscale spot detector is used to generate cues (regions of interest) for probable locations of microcalci cations. The spot detection is enhanced by a physical model describing a microcalci cation
	ftp://cml.rice.edu/pub/odegard/evans/old2/mammograms.ps.gz, 19961022 Evaluation of Automatic Detection of Microcalci cation Clusters using Compressed Digitized Mammograms A multiscale spot detector is used to generate cues (regions of interest) for probable locations of microcalci cations. The spot detection is enhanced by a physical model describing a microcalci cation
	ftp://cml.rice.edu/pub/reports/CML9608.ps.Z, 19961023 SOBOLEV REGULARITY FOR RANK M WAVELETS P. N. HELLER AND R. O. WELLS, JR. October 1996
	ftp://cml.rice.edu/pub/reports/CML9602.ps.Z, 19961101 A Remark on Vanishing Moments Jun Tian and Raymond O. Wells, Jr. Computational Mathematics Laboratory, Rice University Houston, Texas 77005-1892 juntian@rice.edu, wells@rice.edu
	ftp://cml.rice.edu/pub/reports/CML9607.ps.Z, 19961111 Dyadic Rational Biorthogonal Coifman Wavelet Systems Jun Tian and Raymond O. Wells, Jr. Department of Mathematics Rice University Houston, Texas 77005-1892 juntian@rice.edu, wells@rice.edu February 27, 1996
	ftp://cml.rice.edu/pub/odegard/evans/evans.ps.gz, 19970106 Lincoln North Building (Lincoln, MA) Single Channel SAR: HV image CML Rice University DSP Lincoln North Building, Lincoln, MA Fully Polarimetric SAR: PWF image CML Rice University DSP Lincoln North Building (Lincoln, MA) Fully Polarimetric SAR: Shift Invariant Wavelet Denoised PWF image CML Rice
	ftp://cml.rice.edu/pub/reports/CML9701.ps.Z, 19970128 1 Coifman Wavelet Systems: Approximation, Smoothness, and Computational Algorithms1 J. Tian, R. O. Wells, Jr., J. E. Odegard, and C. S. Burrus Computational Mathematics Laboratory Rice University Houston, Texas 77005-1892, USA http://cml.rice.edu/ 1. INTRODUCTION The theory of wavelet analysis has grown
	ftp://cml.rice.edu/pub/reports/cmltrs.ps.Z, 19970128 Computational Mathematics Laboratory Technical Reports CML TR90-01 Michael Lewis Cardinal Interpolating Multiresolutions" CML TR90-02 Roland Glowinski, Finite Element Methods for the Numerical Simulation of Incompressible Viscous Flow. Introduction to the Control of the Navier-Stokes Equations," in C.
	ftp://cml.rice.edu/pub/reports/CML9603.ps.Z, 19970220 Vanishing Moments and Biorthogonal Wavelet Systems Jun Tian and Raymond O. Wells, Jr. Computational Mathematics Laboratory, Rice University Houston, Texas 77005-1892, USA juntian@rice.edu, wells@rice.edu http://cml.rice.edu/ to appear in Mathematics in Signal Processing IV, J. G. McWhirter, Editor,