Published by Engineering Library on 28 Oct 2009 at 03:15 pm
New title for Communication and Information Engineering
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Title: | Bayesian signal processing : classical, modern, and particle filtering methods |
| Author: | Candy, J. V. | |
| Call number: | TK5102.9.C219B | |
| Availability: | Click here |
Synopsis:
Bayesian Signal Processing features the latest generation of processors (particle filters) that have been enabled by the advent of high-speed/high-throughput computers. The Bayesian approach is uniformly developed in this book’s algorithms, examples, applications, and case studies. Throughout this book, the emphasis is on nonlinear/non-Gaussian problems; however, some classical techniques (e.g. Kalman filters, unscented Kalman filters, Gaussian sums, grid-based filters, et al) are included to enable readers familiar with those methods to draw parallels between the two approaches. [As taken from Amazon]
