Your cart

Your cart is empty


Not currently available

Model-Based Signal Processing (Electronic book text, 1st edition)
Model-Based Signal Processing (Electronic book text, 1st edition): James V. Candy
Model-Based Signal Processing (Electronic book text, 1st edition): James V. Candy

Share your images

Model-Based Signal Processing (Electronic book text, 1st edition)

James V. Candy

Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, 36

 (sign in to rate)

Bookmark and Share

We have no sources for this product at present. If you add this to your wishlist we will let you know should it become available to order.

A unique treatment of signal processing using a model-based perspective
Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem causing these low levels and extracting the desired information. Model-based signal processing incorporates the physical phenomena, measurements, and noise in the form of mathematical models to solve this problem. Not only does the approach enable signal processors to work directly in terms of the problem's physics, instrumentation, and uncertainties, but it provides far superior performance over the standard techniques. Model-based signal processing is both a modeler's as well as a signal processor's tool.
Model-Based Signal Processing develops the model-based approach in a unified manner and follows it through the text in the algorithms, examples, applications, and case studies. The approach, coupled with the hierarchy of physics-based models that the author develops, including linear as well as nonlinear representations, makes it a unique contribution to the field of signal processing.
The text includes parametric (e.g., autoregressive or all-pole), sinusoidal, wave-based, and state-space models as some of the model sets with its focus on how they may be used to solve signal processing problems. Special features are provided that assist readers in understanding the material and learning how to apply their new knowledge to solving real-life problems.
* Unified treatment of well-known signal processing models including physics-based model sets
* Simple applications demonstrate how the model-based approach works, while detailed case studies demonstrate problem solutions in their entirety from concept to model development, through simulation, application to real data, and detailed performance analysis
* Summaries provided with each chapter ensure that readers understand the key points needed to move forward in the text as well as MATLAB(r) Notes that describe the key commands and toolboxes readily available to perform the algorithms discussed
* References lead to more in-depth coverage of specialized topics
* Problem sets test readers' knowledge and help them put their new skills into practice
The author demonstrates how the basic idea of model-based signal processing is a highly effective and natural way to solve both basic as well as complex processing problems. Designed as a graduate-level text, this book is also essential reading for practicing signal-processing professionals and scientists, who will find the variety of case studies to be invaluable.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department


Imprint: Wiley-IEEE Press
Country of origin: United States
Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, 36
Release date: April 2008
First published: 2006
Authors: James V. Candy
Format: Electronic book text
Pages: 677
Edition: 1st edition
ISBN-13: 978-0-470-30663-5
Barcode: 9780470306635
Categories: Books
LSN: 0-470-30663-7

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Loyalty partners