Verfügbarkeit: Detection of random signals in dependent Gaussian noise

Detection of random signals in dependent Gaussian noise:

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1. Verfasser:	Gualtierotti, Antonio F. (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cham Springer [2015]
Schlagworte:	Mathematics Functional analysis Information theory Probabilities Probability Theory and Stochastic Processes Functional Analysis Information and Communication, Circuits Mathematik
Online-Zugang:	BTU01 FRO01 TUM01 UBM01 UBT01 UBW01 UPA01 Volltext Inhaltsverzeichnis Abstract
Beschreibung:	1 Online Ressource (XXXIV, 1176 Seiten, 5 illus)
ISBN:	9783319223155
DOI:	10.1007/978-3-319-22315-5

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Datensatz im Suchindex

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adam_text	DETECTION OF RANDOM SIGNALS IN DEPENDENT GAUSSIAN NOISE / GUALTIEROTTI, ANTONIO F. : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS PROLOG PART I: REPRODUCING KERNEL HILBERT SPACES PART II: CRAMER-HIDA REPRESENTATIONS PART III: LIKELIHOODS CREDITS AND COMMENTS NOTATION AND TERMINOLOGY REFERENCES INDEX DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. DETECTION OF RANDOM SIGNALS IN DEPENDENT GAUSSIAN NOISE / GUALTIEROTTI, ANTONIO F. : 2015 ABSTRACT / INHALTSTEXT 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, CRAMER-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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spelling	Gualtierotti, Antonio F. Verfasser (DE-588)173726771 aut Detection of random signals in dependent Gaussian noise Antonio F. Gualtierotti Cham Springer [2015] © 2015 1 Online Ressource (XXXIV, 1176 Seiten, 5 illus) txt rdacontent c rdamedia cr rdacarrier Mathematics Functional analysis Information theory Probabilities Probability Theory and Stochastic Processes Functional Analysis Information and Communication, Circuits Mathematik Erscheint auch als Druckausgabe 978-3-319-22314-8 https://doi.org/10.1007/978-3-319-22315-5 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028730154&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028730154&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Gualtierotti, Antonio F. Detection of random signals in dependent Gaussian noise Mathematics Functional analysis Information theory Probabilities Probability Theory and Stochastic Processes Functional Analysis Information and Communication, Circuits Mathematik
title	Detection of random signals in dependent Gaussian noise
title_auth	Detection of random signals in dependent Gaussian noise
title_exact_search	Detection of random signals in dependent Gaussian noise
title_full	Detection of random signals in dependent Gaussian noise Antonio F. Gualtierotti
title_fullStr	Detection of random signals in dependent Gaussian noise Antonio F. Gualtierotti
title_full_unstemmed	Detection of random signals in dependent Gaussian noise Antonio F. Gualtierotti
title_short	Detection of random signals in dependent Gaussian noise
title_sort	detection of random signals in dependent gaussian noise
topic	Mathematics Functional analysis Information theory Probabilities Probability Theory and Stochastic Processes Functional Analysis Information and Communication, Circuits Mathematik
topic_facet	Mathematics Functional analysis Information theory Probabilities Probability Theory and Stochastic Processes Functional Analysis Information and Communication, Circuits Mathematik
url	https://doi.org/10.1007/978-3-319-22315-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028730154&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028730154&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT gualtierottiantoniof detectionofrandomsignalsindependentgaussiannoise

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