Synopses & Reviews
An introduction to the use of the bootstrap in signal processing.
Review
'\"This is a very useful handbook for engineers, especially those working in signal processing.\" Technometrics\"Bootstrap Techniques for Signal Processing\'s real strength lies in introducing bootstrap techniques from the practicioner\'s point of view. The text is written in a style that is easy to read. The authors\' liberal use of examples serves ot reinforce application of the concepts presented.... The text is abundantly cross-referenced making it easier for those interested in further reading to find relevant works in their areas of interest. Each chapter ends with a concise summary of the salient points discussed. This books would be an excellent text for a graduate level engineering course or a useful reference for those who wish to apply bootstrap techniques in their work.\"
Annals of Biomedical Engineering'
Synopsis
The statistical bootstrap is a powerful tool in signal processing. This book covers the foundations of the bootstrap, its properties, its strengths, and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering, and automotive engineering.
Synopsis
'The statistical bootstrap is a powerful tool in signal processing. This book covers the foundations of the bootstrap, its properties, its strengths, its limitations, and model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB.\n
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About the Author
'Abdelhak Zoubir received his Ph.D. from Ruhr University, Bochum, Germany, and is Professor of Signal Theory at Darmstadt University of Technology, Germany. He worked in industry at Klockner-Moeller and Siempelkamp before taking up academic positions at first Queensland University of Technology, Australia, and then Curtin University of Technology, Australia. He has published over 150 technical papers in the field of statistical methods for signal processing.D. Robert Iskander received his Ph.D. from Queensland University of Technology. He is currently a senior lecturer in the School of Engineering at Griffith University, Australia. He is also a visiting research fellow in the Centre for Eye Research at Queensland University of Technology. He has published over 50 technical papers, in fields such as statistical signal processing, visual optics, and ophthalmic instrumentation.'