Modeling, estimation and optimal filtration in signal processing
The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing.Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In a...
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| Format: | eBook |
| Language: | Inglés |
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London : Hoboken, NJ :
ISTE ; J. Wiley & Sons
2008.
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| Edition: | 1st edition |
| Series: | ISTE
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627844006719 |
| Summary: | The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing.Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are addressed.Secondly, estimation approaches based on least squares methods and instrumental variable techniques are presented.Finally, the book deals with optimal filters, i.e. Wiener and Kalman filtering, and adaptive filters such as the RLS, the LMS and the |
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| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (410 p.) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781282165007 9786612165009 9780470611104 9780470393680 |
