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Greblicki - Nonparametric System Identification - New hardback or case - P555z
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- ¡Cómpralo ya!Greblicki - Nonparametric System Identification - New hardback or case - P555z
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N.º de artículo de eBay:375422065954
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Características del artículo
- Estado
- Fiction/Non-Fiction
- Non-Fiction
- Genre/Subject
- TECHNOLOGY ENGINEERING / Signals Signal Processing
- Brand
- NA
- Weight
- 0.91
- Style
- NA
- Title
- Nonparametric System Identification
- Release Title
- Nonparametric System Identification
- Record Grading
- New
- Sleeve Grading
- New
- Platform
- NA
- Size
- NA
- Film/TV Title
- Nonparametric System Identification
- Colour
- NA
- Material
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- Department
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- Binding Type
- Hardcover
- Main Stone
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- ISBN
- 9780521868044
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Product Information
Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this books shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphasis on Hammerstein, Wiener systems, and their multidimensional extensions, the authors show how to identify nonlinear subsystems and their characteristics when limited information exists. Algorithms using trigonometric, Legendre, Laguerre, and Hermite series are investigated, and the kernel algorithm, its semirecursive versions, and fully recursive modifications are covered. The theories of modern non-parametric regression, approximation, and orthogonal expansions, along with new approaches to system identification (including semiparametric identification), are provided. Detailed information about all tools used is provided in the appendices. This book is for researchers and practitioners in systems theory, signal processing, and communications and will appeal to researchers in fields like mechanics, economics, and biology, where experimental data are used to obtain models of systems.
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
0521868041
ISBN-13
9780521868044
eBay Product ID (ePID)
91413793
Product Key Features
Number of Pages
400 Pages
Language
English
Publication Name
Nonparametric System Identification
Subject
Signals & Signal Processing, System Theory
Publication Year
2008
Type
Textbook
Subject Area
Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Weight
35 oz.
Item Length
10.3 in
Item Width
7.2 in
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