D. Boudreau
McGill University
4 Papers
38 Citations
D. Boudreau is an academic researcher from McGill University. The author has contributed to research in topics: Adaptive filter & Filter (signal processing). The author has an hindex of 3, co-authored 4 publications.
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Papers
Joint time-delay estimation and adaptive recursive least squares filtering
D. Boudreau,Peter Kabal +1 more
TL;DR: A general estimation model is defined in which two observations are available: a noisy and a noise-filtered and delayed version of the transmitted signal and the delay and the filter must be estimated.
28
Joint gradient-based time delay estimation and adaptive filtering
D. Boudreau,Peter Kabal +1 more
- 01 May 1990
TL;DR: In this paper, a joint estimator composed of an adaptive delay element in conjunction with a transversal adaptive filter is proposed, and conditions of convergence to a multitude of solutions are established, and a condition of convergence is presented.
Joint gradient-based time-delay estimation and adaptive minimum mean-squared-error filtering
D. Boudreau,Peter Kabal +1 more
TL;DR: In this paper, a general estimation model is defined in which two observations are available; one is a noisy version of the transmitted signal, while the other one is an adaptive delay element in conjunction with a transversal adaptive filter.
3
Asymptotic receiver structures for joint maximum likelihood time delay estimation and channel identification using Gaussian signals
D. Boudreau,Peter Kabal +1 more
TL;DR: Using two different methods, possible structures for the joint maximum-likelihood estimator are proposed, when the observation interval is long compared to both the delay to estimate and the correlation time, of the various random processes involved.