Bootstrap Techniques for Signal Processing
- Publisher's listprice GBP 54.00
-
27 329 Ft (26 028 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 5 466 Ft off)
- Discounted price 21 864 Ft (20 822 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
27 329 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number New ed
- Publisher Cambridge University Press
- Date of Publication 15 February 2007
- ISBN 9780521034050
- Binding Paperback
- No. of pages232 pages
- Size 244x169x14 mm
- Weight 373 g
- Language English
- Illustrations 41 b/w illus. 34 tables 0
Categories
Short description:
An introduction to the use of the bootstrap in signal processing.
MoreLong description:
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.
'... an excellent text for a graduate level engineering course or a useful reference for those who wish to apply bootstrap techniques in their work.' Annals of Biomedical Engineering
Table of Contents:
Preface; Notations; 1. Introduction; 2. The bootstrap principle; 3. Signal detection with the bootstrap; 4. Bootstrap model selection; 5. Real data bootstrap applications; Appendix 1. MATLAB codes for the examples; Apendix 2. Bootstrap MATLAB toolbox; References; Index.
More
