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- M. G. Lauby, W.P. Malcolm
- 2007 International Conference on Intelligentâ€¦
- 2007

To meet the rising electric power demand, and accommodating the new demand and supply-side options of the 21st century, significant improvements in the bulk power transmission system are necessary.â€¦ (More)

- W.P. Malcolm, R. Elliott, FranÃ§ois Dufour, M. Sanjeev Arulampalam
- Proceedings of the 44th IEEE Conference onâ€¦
- 2005

In this article we describe a state estimation algorithm for discrete-time Gauss-Markov models whose parameters are determined at each discrete-time instant by the state of a Markov chain. The schemeâ€¦ (More)

- R. J. Elliott, W.P. Malcolm, FranÃ§ois Dufour
- Proceedings of the 44th IEEE Conference onâ€¦
- 2005

In this article we compute the exact smoothing algorithm for discrete-time Gauss-Markov models whose parameter-sets switch according to a known Markov law. The smoothing algorithm we present isâ€¦ (More)

- W.P. Malcolm, R. J. Elliott
- Final Program and Abstracts on Informationâ€¦
- 2002

In this article we consider a dynamic M-ary detection problem when Markov chains are observed through a doubly stochastic Poisson process. These systems are fully specified by a candidate set ofâ€¦ (More)

- R. Elliott, FranÃ§ois Dufour, W.P. Malcolm
- Proceedings of the 2005, American Controlâ€¦
- 2005

In this article we compute state and mode estimation algorithms for discrete-time Gauss-Markov models whose parameter-sets switch according to a known Markov law. Our algorithms are distinct fromâ€¦ (More)

- W.P. Malcolm, R. J. Elliott
- Conference Record of the Thirty-Eighth Asilomarâ€¦
- 2004

Many conventional methods of source localization rely upon the offline maximization of a full data log-likelihood function. These functions are often complicated and difficult to maximize. Further,â€¦ (More)

- R. J. Elliott, FranÃ§ois Dufour, W.P. Malcolm
- Proceedings of the 45th IEEE Conference onâ€¦
- 2006

In this article we examine the numerical performance of a new state estimation algorithm for discrete-time Gauss-Markov models, whose parameters are determined at each discrete-time instant by theâ€¦ (More)

- W.P. Malcolm, N. Gordon
- Final Program and Abstracts on Informationâ€¦
- 2002

We consider estimating a stochastic intensity process, indirectly observed through a sequence of Poisson random variables. The class of dynamical systems we consider, are autoregressive stateâ€¦ (More)

- Patrick Florchinger, W.P. Malcolm
- 2004 43rd IEEE Conference on Decision and Controlâ€¦
- 2004

In this article we consider risk sensitive filtering and smoothing for a nonlinear scalar-valued dynamical system with correlated state and observer noise processes. The model we consider is an Itoâ€¦ (More)

- R. J. Elliott, W.P. Malcolm
- 2008 42nd Asilomar Conference on Signals, Systemsâ€¦
- 2008

In certain models for communications signals, such as quadrature amplitude modulation (QAM), circular stochastic processes arise quite naturally. However, much of the literature concerning estimationâ€¦ (More)