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Bootstrap Techniques for Signal Processing Book

Bootstrap Techniques for Signal Processing
Bootstrap Techniques for Signal Processing, , Bootstrap Techniques for Signal Processing has a rating of 3 stars
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Bootstrap Techniques for Signal Processing, , Bootstrap Techniques for Signal Processing
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  • Bootstrap Techniques for Signal Processing
  • Written by author Abdelhak M. Zoubir
  • Published by Cambridge University Press, June 2004
  • An introduction to the use of the bootstrap in signal processing.
Buy Digital  USD$104.00

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Authors

1.0Introduction1
2.0The bootstrap principle11
2.1The principle of resampling11
2.2The principle of pivoting and variance stabilisation49
2.3Limitations of the bootstrap57
2.4Trends in bootstrap resampling59
2.5Summary60
3.0Signal detection with the bootstrap62
3.1Principles of hypothesis testing62
3.2Hypothesis testing with the bootstrap73
3.3The role of pivoting74
3.4Variance estimation78
3.5Detection through regression83
3.6The bootstrap matched filter93
3.7Summary101
4.0Bootstrap model selection103
4.1Preliminaries103
4.2Model selection105
4.3Model selection in linear models106
4.4Model selection in nonlinear models114
4.5Order selection in autoregressions117
4.6Detection of sources using bootstrap techniques119
4.7Summary127
5.0Real data bootstrap applications130
5.1Optimal sensor placement for knock detection130
5.2Confidence intervals for aircraft parameters136
5.3Landmine detection143
5.4Noise floor estimation in over-the-horizon radar147
5.5Model order selection for corneal elevation154
5.6Summary158
App. 1Matlab codes for the examples159


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