Now showing items 1877-1896 of 1918

    • Wavelet Based Speckle Reduction with Applications to SAR based ATD/R 

      Guo, Haitao; Odegard, Jan E.; Lang, Markus; Gopinath, Ramesh A.; Selesnick, Ivan W.; Burrus, C. Sidney (1994-11-20)
      This paper introduces a novel speckle reduction method based on thresholding the wavelet coefficients of the logarithmically transformed image. The method is computational efficient and can sinificantly reduce the speckle ...
    • Wavelet Domain Filtering for Nuclear Medicine Imaging 

      Nowak, Robert David; Baraniuk, Richard G. (1996-11-01)
      The authors propose a new filtering/estimation method for nuclear medicine imaging. The statistical method of cross-validation is used to design optimal wavelet domain filters for improved image estimation. The quality of ...
    • Wavelet Folding and Decorrelation Across the Scale 

      Baraniuk, Richard G.; Wells, R.O.; Tian, Jun Feng (2000-06-01)
      The discrete wavelet transform (DWT) gives a compact multiscale representation of signals and provides a hierarchical structure for signal processing. It has been assumed the DWT can fairly well decorrelate real-world ...
    • Wavelet Shrinkage in Optical Flow Estimation 

      Tsang, Yolanda (2000-05-20)
      Optical Flow Computation is the estimation of 2D image motion, a projection of 3D motion onto its image plan. It uses a time-ordered image sequence to calculate the instantaneous velocities at image points. The image ...
    • Wavelet Soft-Thresholding of Time-Frequency Representations 

      Baraniuk, Richard G. (1994-11-01)
      The high noise sensitivity of the Wigner distribution makes smoothing a necessity for producing readable time-frequency images of noise corrupted signals. Since linear smoothing suppresses noise at the expense of considerable ...
    • Wavelet Statistical Models and Besov Spaces 

      Choi, Hyeokho; Baraniuk, Richard G. (2003-01-15)
      No Abstract
    • Wavelet-based deconvolution for ill-Conditioned systems 

      Neelamani, Ramesh (2000-05-20)
      This thesis proposes a new approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to other wavelet-based deconvolution approaches, ...
    • Wavelet-based Deconvolution for Ill-conditioned Systems 

      Neelamani, Ramesh; Choi, Hyeokho; Baraniuk, Richard G. (1999-03-01)
      In this paper, we propose a new approach to wavelet-based deconvolution. Roughly speaking, the algorithm comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. Our approach subsumes a number ...
    • Wavelet-based deconvolution for ill-conditioned systems 

      Neelamani, Ramesh; Choi, Hyeokho; Baraniuk, Richard G. (2000-02-01)
      We propose a hybrid approach to wavelet-based deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to other wavelet-based deconvolution approaches, the ...
    • Wavelet-based deconvolution for ill-conditioned systems 

      Neelamani, Ramesh (1999)
      This thesis proposes a new approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to other wavelet-based deconvolution approaches, ...
    • Wavelet-Based Deconvolution Using Optimally Regularized Inversion for Ill-Conditioned Systems 

      Neelamani, Ramesh; Choi, Hyeokho; Baraniuk, Richard G. (1999-07-20)
      We propose a hybrid approach to wavelet-based deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to conventional wavelet-based deconvolution approaches, ...
    • Wavelet-Based Denoising Using Hidden Markov Models 

      Borran, Mohammad Jaber; Nowak, Robert David (2001-05-20)
      Hidden Markov models have been used in a wide variety of wavelet-based statistical signal processing applications. Typically, Gaussian mixture distributions are used to model the wavelet coefficients and the correlation ...
    • Wavelet-Based Post-Processing of Low Bit Rate Transform Coded Images 

      Gopinath, Ramesh A.; Lang, Markus; Guo, Haitao; Odegard, Jan E. (1994-01-15)
      In this paper we propose a novel method based on wavelet thresholding for enhancement of decompressed transform coded images. Transform coding at low bit rates typically introduces artifacts associated witht he basis ...
    • Wavelet-Based Post-Processing of Low Bit Rate Transform Coded Images 

      Gopinath, Ramesh A.; Lang, Markus; Guo, Haitao; Odegard, Jan E. (1994-11-01)
      In this paper we propose a novel method based on wavelet thresholding for enhancement of decompressed transform coded images. Transform coding at low bit rates typically introduces artifacts associated witht he basis ...
    • Wavelet-based queueing analysis of Gaussian and nonGaussian long-range-dependent network traffic 

      Ribeiro, Vinay Joseph (1999)
      In this thesis, we develop a simple and powerful multiscale model for the synthesis of nonGaussian, long-range-dependent (LRD) network traffic. The wavelet transform effectively decorrelates LRD signals and hence is ...
    • Wavelet-based queuing analysis of Gaussian and non-Gaussian long-range-dependent network traffic 

      Ribeiro, Vinay Joseph (1999-05-20)
      In this thesis, we develop a simple and powerful multiscale model for the synthesis of nonGaussian, long-range-dependent (LRD) network traffic. The wavelet transform effectively doecorrelates LRD signals and hence is ...
    • Wavelet-based Rician noise removal for magnetic resonance imaging 

      Nowak, Robert David (1999-10-20)
      It is well-known that the noise in magnetic resonance magnitude images obeys a Rician distribution. Unlike additive Gaussian noise, Rician noise is signal-dependent and consequently spearating signal from noise is a ...
    • Wavelet-based signal modeling and processing algorithms with applications 

      Wan, Yi (2003)
      Good signal representation and the corresponding signal processing algorithms lie at the heart of the signal processing research effort. Since the 1980's wavelet analysis has become more and more a mature tool in many ...
    • A Wavelet-Based Statistical Model for Image Restoration 

      Wan, Yi; Nowak, Robert David (2001-10-20)
      In this paper we develop a wavelet-based statistical method for solving the image restoration problem. In this approach, a signal prior is set up by modeling the image wavelet coefficients as independent Gaussian mixture ...
    • Wavelet-Based Transformations for Nonlinear Signal Processing 

      Nowak, Robert David; Baraniuk, Richard G. (1999-07-01)
      Nonlinearities are often encountered in the analysis and processing of real-world signals. In this paper, we introduce two new structures for nonlinear signal processing. The new structures simplify the analysis, design, ...