Detection of random signals in dependent Gaussian noise
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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[2015]
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| 245 | 1 | 0 | |a Detection of random signals in dependent Gaussian noise |c Antonio F. Gualtierotti |
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| 264 | 4 | |c © 2015 | |
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Datensatz im Suchindex
| DE-BY-TUM_katkey | 2165806 |
|---|---|
| DE-BY-TUM_local_url | Verlag https://doi.org/10.1007/978-3-319-22315-5 |
| _version_ | 1816714172128296960 |
| 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.
|
| any_adam_object | 1 |
| author | Gualtierotti, Antonio F. |
| author_GND | (DE-588)173726771 |
| author_facet | Gualtierotti, Antonio F. |
| author_role | aut |
| author_sort | Gualtierotti, Antonio F. |
| author_variant | a f g af afg |
| building | Verbundindex |
| bvnumber | BV043309465 |
| classification_rvk | SK 800 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA |
| ctrlnum | (OCoLC)934188962 (DE-599)BVBBV043309465 |
| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-319-22315-5 |
| format | Electronic eBook |
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| id | DE-604.BV043309465 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-25T17:51:13Z |
| institution | BVB |
| isbn | 9783319223155 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028730154 |
| oclc_num | 934188962 |
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| physical | 1 Online Ressource (XXXIV, 1176 Seiten, 5 illus) |
| psigel | ZDB-2-SMA UBY_PDA_SMA ZDB-2-SMA_2015 |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Springer |
| record_format | marc |
| 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 |
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