The Resource Detection of random signals in dependent Gaussian noise, Antonio F. Gualtierotti

Detection of random signals in dependent Gaussian noise, Antonio F. Gualtierotti

Label
Detection of random signals in dependent Gaussian noise
Title
Detection of random signals in dependent Gaussian noise
Statement of responsibility
Antonio F. Gualtierotti
Creator
Author
Subject
Genre
Language
eng
Summary
The book presents the necessary mathematical basis to obtain and rigorously use likelihoods for detection problems with Gaussian noise. To facilitate comprehension the text is divided into three broad areas? reproducing kernel Hilbert spaces, Cramér-Hida representations and stochastic calculus? for which a somewhat different approach was used than in their usual stand-alone context. One main applicable result of the book involves arriving at a general solution to the canonical detection problem for active sonar in a reverberation-limited environment. Nonetheless, the general problems dealt with in the text also provide a useful framework for discussing other current research areas, such as wavelet decompositions, neural networks, and higher order spectral analysis. The structure of the book, with the exposition presenting as many details as necessary, was chosen to serve both those readers who are chiefly interested in the results and those who want to learn the material from scratch. Hence, the text will be useful for graduate students and researchers alike in the fields of engineering, mathematics and statistics
Cataloging source
N$T
http://library.link/vocab/creatorName
Gualtierotti, Antonio F
Dewey number
003/.54
Illustrations
illustrations
Index
index present
LC call number
TK5102.5
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Random noise theory
  • SCIENCE
  • TECHNOLOGY & ENGINEERING
  • Random noise theory
  • Mathematics
  • Probability Theory and Stochastic Processes
  • Functional Analysis
  • Information and Communication, Circuits
  • Functional analysis & transforms
  • Applied mathematics
  • Probability & statistics
Label
Detection of random signals in dependent Gaussian noise, Antonio F. Gualtierotti
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-22315-5
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Prolog -- Part I: Reproducing Kernel Hilbert Spaces -- Part II: Cramér-Hida Representations -- Part III: Likelihoods -- Credits and Comments -- Notation and Terminology -- References -- Index
Dimensions
unknown
Extent
1 online resource (xxxiv, 1176 pages)
File format
unknown
Form of item
online
Isbn
9783319223155
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-22315-5
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)932289169
  • (OCoLC)ocn932289169
Label
Detection of random signals in dependent Gaussian noise, Antonio F. Gualtierotti
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-22315-5
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Prolog -- Part I: Reproducing Kernel Hilbert Spaces -- Part II: Cramér-Hida Representations -- Part III: Likelihoods -- Credits and Comments -- Notation and Terminology -- References -- Index
Dimensions
unknown
Extent
1 online resource (xxxiv, 1176 pages)
File format
unknown
Form of item
online
Isbn
9783319223155
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-22315-5
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)932289169
  • (OCoLC)ocn932289169

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