Bootstrap Techniques for Signal Processing - D. Robert Iskander,Abdelhak M. Zoubir
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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 cove ... Full description
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Description
More Information
| Author | D. Robert Iskander, Abdelhak M. Zoubir |
|---|---|
| Publisher | Cambridge University Press |
| Release year | 2010 |
| Cover type | Hardcover |
| EAN | 9780521831277 |