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portada Bootstrap Techniques Signal Process
Type
Physical Book
Year
2006
Language
English
Pages
232
Format
Paperback
ISBN
0521034051
ISBN13
9780521034050
Edition No.
1

Bootstrap Techniques Signal Process

Abdelhak M. Zoubir (Author) · Cambridge University Press · Paperback

Bootstrap Techniques Signal Process - Abdelhak M. Zoubir

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Synopsis "Bootstrap Techniques Signal Process "

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 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.

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