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Second Floor - Engineering & Architecture
2016-11-16
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620.0011 B.I.A 2013
21611
2016-11-16 00:00:00
2016-11-16
BK
806
806
17756917
20170918092316.0
130530s2013 ne a b 001 0 eng d
2013941676
016315512
Uk
9780124095014
0124095011
(OCoLC)ocn828670761
YDXCP
eng
YDXCP
rda
BTCTA
UKMGB
NLE
CDX
OCLCF
IXA
VGM
OCLCQ
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OCLCQ
N5L
DLC
lccopycat
TK5102.9
.B713 2013
620.0011
23
Brainina, Irina S.,
author.
Applications of random process excursion analysis /
Irina S. Brainina, Povolzhye State University of Telecommunications and Informatics (PSUTI), Russia ; translated by Dmitri Arch.
1st ed.
Oxford ;
Elsevier,
©2013
Amsterdam ;
Boston ;
Heidelberg ;
London ;
New York ;
Oxford ;
Paris ;
San Diego ;
San Francisco ;
Singapore ;
Sydney ;
Tokyo :
Elsevier,
[2013]
©2013
xvii, 233 pages :
illustrations ;
24 cm.
text
txt
rdacontent
unmediated
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rdamedia
volume
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Elsevier insights
Includes bibliographical references (pages 227-233) and index.
This book addresses one of the key problems in signal processing, the problem of identifying statistical properties of excursions in a random process in order to simplify the theoretical analysis and make it suitable for engineering applications. Precise and approximate formulas are explained, which are relatively simple and can be used for engineering applications such as the design of devices which can overcome the high initial uncertainty of the self-training period. The information presented in the monograph can be used to implement adaptive signal processing devices capable of detecting or recognizing the wanted signals (with a priori unknown statistical properties) against the background noise. The applications presented can be used in a wide range of fields including medicine, radiolocation, telecommunications, surface quality control (flaw detection), image recognition, thermal noise analysis for the design of semiconductors, and calculation of excessive load in mechanics. Introduces English-speaking students and researchers in to the results obtained in the former Soviet/ Russian academic institutions within last few decades. Supplies a range of applications suitable for all levels from undergraduate to professional. Contains computer simulations. --
Signal processing
Mathematics.
Signal processing
Mathematics.
fast
Elsevier insights.
Publisher description
http://www.loc.gov/catdir/enhancements/fy1606/2013941676-d.html
7
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20
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