#### Filter Results:

#### Publication Year

1988

2004

#### Publication Type

#### Co-author

#### Key Phrase

#### Publication Venue

Learn More

Abstruet-A current topic of great interest is the multiresolu-tion analysis of signals and the development of multiscale signal processing algorithms. In this paper, 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 also be at… (More)

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 for optimal multiscale statistical signal and image processing. As described, a natural framework for developing such a theory is the study of stochastic processes indexed by nodes on… (More)

- Kenneth C Chou, Alan S Willsky, Ramine Nikoukhah, K C Chou
- 1991

In 111 we introduced a class of multiscale dynamic models described in terms of scale-recursive state space equations on a dyadic tree. An algorithm analogous to the Rauch-hg4triebel algorithm-onsisting of a he-to-coarse Kalman filter-like sweep followed by a coarse-to-he smoothing step-was developed In this paper we present a detailed system-theoretic… (More)

- Kenneth C Chou, Stuart A Golden, Alan S Will, Zusammenfassung Wir
- 1993

In this paper we describe and analyze a class of multiscale stochastic processes which are modeled using dynamic representations evolving in scale based on the wavelet transform. The statistical structure of these models is Markovian in scale, and in addition the eigenstructure of these models is given by the wavelet transform. The implication of this is… (More)

- Kenneth C Chou, Alan S Willsky, Zusammenfassung
- 1988

In this paper a method of estimating the conductivity in a bounded 2-D domain at multiple spatial resolutions given boundary excitations and measurements is presented. The problem is formulated as a maximum-likelihood estimation problem and an algorithm that consists of a sequence of estimates at successively finer scales is presented. By exploiting the… (More)

In this paper we present a method of estimating the conductivity in a bounded 2D domain at multiple spatial resolutions given boundary excitations and measurements. We formulate the problem as a maximum likelihood estimation problem and present an algorithm that consists of a sequence of estimates at successively finer scales. By exploiting the structure of… (More)

- K C Chou, S A Golden, A S Willsky, Kenneth C Chou, Alan S Willsky

In this paper we describe and analyze a class of multiscale stochastic processes which are modeled using dynamic representations evolving in scale based on the wavelet transform. The statistical structure of these models is Marko-vian in scale, and in addition the eigenstructure of these models is given by the wavelet transform. The implication of this is… (More)

- ‹
- 1
- ›