Wavelets and signal processing
O Rioul, M Vetterli - IEEE signal processing magazine, 1991 - ieeexplore.ieee.org
A simple, nonrigorous, synthetic view of wavelet theory is presented for both review and
tutorial purposes. The discussion includes nonstationary signal analysis, scale versus …
tutorial purposes. The discussion includes nonstationary signal analysis, scale versus …
A multiscale random field model for Bayesian image segmentation
CA Bouman, M Shapiro - IEEE Transactions on image …, 1994 - ieeexplore.ieee.org
Many approaches to Bayesian image segmentation have used maximum a posteriori (MAP)
estimation in conjunction with Markov random fields (MRF). Although this approach performs …
estimation in conjunction with Markov random fields (MRF). Although this approach performs …
Modeling and estimation of multiresolution stochastic processes
M Basseville, A Benveniste, KC Chou… - IEEE Transactions …, 1992 - ieeexplore.ieee.org
An overview is provided of the several components of a research effort aimed at the
development of a theory of multiresolution stochastic modeling and associated techniques …
development of a theory of multiresolution stochastic modeling and associated techniques …
Multiscale recursive estimation, data fusion, and regularization
KC Chou, AS Willsky… - IEEE transactions on …, 1994 - ieeexplore.ieee.org
We describe a framework for modeling stochastic phenomena at multiple scales and for their
efficient estimation or reconstruction given partial and/or noisy measurements which may …
efficient estimation or reconstruction given partial and/or noisy measurements which may …
Multiresolution statistical analysis of high-resolution digital mammograms
JJ Heine, SR Deans, DK Cullers… - … on medical imaging, 1997 - ieeexplore.ieee.org
A multiresolution statistical method for identifying clinically normal tissue in digitized
mammograms is used to construct an algorithm for separating normal regions from …
mammograms is used to construct an algorithm for separating normal regions from …
Detection of non-Gaussian signals: A paradigm for modern statistical signal processing
LM Garth, HV Poor - Proceedings of the IEEE, 1994 - ieeexplore.ieee.org
Non-Gaussian signals arise in a wide variety of applications, including sonar, digital
communications, seismology, and radio astronomy. In this tutorial overview, a hierarchical …
communications, seismology, and radio astronomy. In this tutorial overview, a hierarchical …
Wavelet-based linear system modeling and adaptive filtering
MI Doroslovacki, H Fan - IEEE Transactions on Signal …, 1996 - ieeexplore.ieee.org
It is shown how linear time-varying systems can be modeled in several different ways by
discrete-time wavelets or, more generally, by some set of functions. Interpretation of physical …
discrete-time wavelets or, more generally, by some set of functions. Interpretation of physical …
Multiresolutional distributed filtering
L Hong - IEEE Transactions on Automatic Control, 1994 - ieeexplore.ieee.org
Multiresolutional distributed filtering Page 1 IEEE TRANSACTIONS ON AUTOMATIC
CONTROL, VOL. 39, NO. 4, APRIL 1994 853 Multiresolutional Distributed Filtering Lang Hong …
CONTROL, VOL. 39, NO. 4, APRIL 1994 853 Multiresolutional Distributed Filtering Lang Hong …
Modeling and estimation of asynchronous multirate multisensor system with unreliable measurements
This paper is concerned with state estimation of a linear system by fusion of asynchronous,
multirate, multisensor data. The system is described at the finest scale with multiple sensors …
multirate, multisensor data. The system is described at the finest scale with multiple sensors …
Multiresolutional filtering using wavelet transform
L Hong - IEEE Transactions on Aerospace and Electronic …, 1993 - ieeexplore.ieee.org
Multiresolutional filtering using wavelet transform Page 1 I. INTRODUCTION Mu Iti resol uti onal
Fi Ite ri ng U si ng Wave I et Tr a nsfo rm LANG HONG, Member, IEEE Wright State University An …
Fi Ite ri ng U si ng Wave I et Tr a nsfo rm LANG HONG, Member, IEEE Wright State University An …