Ebook: Bayesian signal processing: classical, modern, and particle filtering methods
Author: Candy James V
- Tags: Signal processing, Mathematics., Bayesian statistical decision theory., COMPUTERS, Information Theory., TECHNOLOGY & ENGINEERING, Signals & Signal Processing.
- Series: Adaptive and learning systems for signal processing communications and control
- Year: 2009
- Publisher: IEEE
- City: Hoboken, N.J
- Language: English
- pdf
New Bayesian approach helps you solve tough problems in signal processing with ease. Signal processing is based on this fundamental conceptthe extraction of critical information from noisy, uncertain data. Most techniques rely on underlying Gaussian assumptions for a solution, but what happens when these assumptions are erroneous? Bayesian techniques circumvent this limitation by offering a completely differentRead more...
Abstract:
This book takes the reader from the classical methods of model-based signal processing, to the next generation of processors that will clearly dominate the future of model-based signal processing forRead more...
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