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Modeling, Estimation and Optimal Filtration in Signal Processing |
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Modeling, Estimation and Optimal Filtration in Signal Processing |
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基本信息·出版社：Wiley-ISTE
·页码：400 页
·出版日期：2008年06月
·ISBN：1848210221
·条形码：9781848210226
·装帧：精装
·正文语种：英语
·外文书名：信号处理的建模, 评估和最大化过滤
内容简介 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 their variants.
作者简介 Mohamed Najim is Professor in Signal Processing at the ENSEIRB and Universite Bordeaux I (France), where he leads the Signal and ImageProcessing group. An IEEE Fellow since 1989, he has worked in various fields: microwaves, modeling and identification, adaptive filtering (includingH infinity), adaptive control and in the field of 1D and n-D identification in signal and image processing.He has published several books, more than 220 technical papers and has taught courses in digital signal processing for more than 30 years.
专业书评 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 their variants.
