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Bootstrap Techniques for Signal Processing

Abdelhak M. Zoubir, D. Robert Iskander




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 | #4946365 in Books |  2007-02-26 | Original language:English | PDF # 1 |  9.72 x.47 x6.85l,.83 | File type: PDF | 232 pages

||0 of 0 people found the following review helpful.| Excellent buy|By C. Nino|Great Book, really a must have for someone who works with statistical signal processing.| |"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 vie

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 strength...

You can specify the type of files you want, for your device.Bootstrap Techniques for Signal Processing   |  Abdelhak M. Zoubir, D. Robert Iskander.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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