Bootstrap Techniques for Signal Processing
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Book Description
The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. 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 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.
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.
Bootstrap Techniques for Signal Processing,Abdelhak M. Zoubir,D. Robert Iskander,Cambridge University Press,052183127X,Applied,Bootstrap (Statistics),Engineering - General,General,Image processing,Mathematics,Probability & Statistics - General,Science,Science/Mathematics,Signal processing,Communications engineering / telecommunications,Electronics engineering,Technology / Environmental
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