Now showing items 1-5 of 5
Wavelet-Based Deconvolution Using Optimally Regularized Inversion for Ill-Conditioned Systems
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, ...
Simulation of Non-Gaussian Long-Range-Dependent Traffic using Wavelets
In this paper, we develop a simple and powerful multiscale model for the synthesis of non-Gaussian, long-range dependent (LRD) network traffic. Although wavelets effectively decorrelate LRD data, wavelet-based models have ...
Network Traffic Modeling using a Multifractal Wavelet Model
In this paper, we describe a new multiscale model for characterizing positive-valued and long-range dependent data. The model uses the Haar wavelet transform and puts a constraint on the wavelet coefficients to guarantee ...
Wavelet-based queuing analysis of Gaussian and non-Gaussian long-range-dependent network traffic
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 ...
Multiscale modeling and estimation of Poisson processes with application to photon-limited imaging
Many important problems in engineering and science are well-modeled by Poisson processes. In many applications it is of great interest to accurately estimate the intensities underlying observed Poisson data. In particular, ...