Bootstrap Techniques for Signal Processing

Bootstrap Techniques for Signal Processing

English | 6 May 2004 | ISBN: 052183127X | 232 Pages | PDF | 1 MB

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.


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