Bootstrap Techniques for Signal Processing Book + PRICE WATCH * Amazon pricing is not included in price watch

Bootstrap Techniques for Signal Processing Book

The statistical bootstrap is a powerfool 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.Read More

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  • Product Description

    This book is about the foundations of the bootstrap, a powerful tool in signal processing, and its properties, strengths, and limitations. Focused on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection, the theory developed by the authors is supported by practical examples written in MATLAB. Aimed at graduate students and engineers, the book includes applications to problems in radar and sonar, biomedical engineering, and automotive engineering.

  • 052183127X
  • 9780521831277
  • Abdelhak M. Zoubir, D. Robert Iskander
  • 6 May 2004
  • Cambridge University Press
  • Hardcover (Book)
  • 232
  • illustrated edition
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