Signal processing theory and machine learning:
Gespeichert in:
Format: | Elektronisch E-Book |
---|---|
Sprache: | English |
Veröffentlicht: |
Amsterdam
Elsevier/Academic Press
2014
|
Ausgabe: | First edition |
Schriftenreihe: | Academic Press library in signal processing
Volume 1 |
Schlagworte: | |
Online-Zugang: | URL des Erstveröffentlichers |
Beschreibung: | Includes bibliographical references and index This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research. Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learningPresents core principles in signal processing theory and shows their applicationsReference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic |
Beschreibung: | 1 Online-Ressource (1559 pages) |
ISBN: | 9780123972262 0123972264 9780123965028 |
Internformat
MARC
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245 | 1 | 0 | |a Signal processing theory and machine learning |c editors, Paulo S.R. Diniz, Program of Electrical Engineering and the Department of Electronics and Computer Engineering, COPPE/Poli, Universidade Federal do Rio de Janeiro, Brazil, [and three others] |
250 | |a First edition | ||
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490 | 1 | |a Academic Press library in signal processing |v Volume 1 | |
500 | |a Includes bibliographical references and index | ||
500 | |a This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research. Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learningPresents core principles in signal processing theory and shows their applicationsReference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic | ||
650 | 7 | |a TECHNOLOGY & ENGINEERING / Mechanical |2 bisacsh | |
650 | 7 | |a Machine learning |2 fast | |
650 | 7 | |a Signal processing |2 fast | |
650 | 4 | |a Signal processing | |
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Datensatz im Suchindex
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any_adam_object | |
author_GND | (DE-588)142917508 |
building | Verbundindex |
bvnumber | BV042309737 |
collection | ZDB-33-ESD ebook ZDB-33-EBS |
ctrlnum | (OCoLC)861537310 (DE-599)BVBBV042309737 |
dewey-full | 621.3822 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.3822 |
dewey-search | 621.3822 |
dewey-sort | 3621.3822 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
edition | First edition |
format | Electronic eBook |
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id | DE-604.BV042309737 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:18:01Z |
institution | BVB |
isbn | 9780123972262 0123972264 9780123965028 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027746729 |
oclc_num | 861537310 |
open_access_boolean | |
owner | DE-1046 DE-83 |
owner_facet | DE-1046 DE-83 |
physical | 1 Online-Ressource (1559 pages) |
psigel | ZDB-33-ESD ebook ZDB-33-EBS FAW_PDA_ESD FLA_PDA_ESD |
publishDate | 2014 |
publishDateSearch | 2014 |
publishDateSort | 2014 |
publisher | Elsevier/Academic Press |
record_format | marc |
series | Academic Press library in signal processing |
series2 | Academic Press library in signal processing |
spelling | Signal processing theory and machine learning editors, Paulo S.R. Diniz, Program of Electrical Engineering and the Department of Electronics and Computer Engineering, COPPE/Poli, Universidade Federal do Rio de Janeiro, Brazil, [and three others] First edition Amsterdam Elsevier/Academic Press 2014 1 Online-Ressource (1559 pages) txt rdacontent c rdamedia cr rdacarrier Academic Press library in signal processing Volume 1 Includes bibliographical references and index This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research. Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learningPresents core principles in signal processing theory and shows their applicationsReference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic TECHNOLOGY & ENGINEERING / Mechanical bisacsh Machine learning fast Signal processing fast Signal processing Machine learning Diniz, Paulo Sergio Ramirez 1956- Sonstige (DE-588)142917508 oth Erscheint auch als Druck-Ausgabe, Hardcover 0-12-396502-0 Academic Press library in signal processing Volume 1 (DE-604)BV042918316 1 http://www.sciencedirect.com/science/book/9780123965028 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Signal processing theory and machine learning Academic Press library in signal processing TECHNOLOGY & ENGINEERING / Mechanical bisacsh Machine learning fast Signal processing fast Signal processing Machine learning |
title | Signal processing theory and machine learning |
title_auth | Signal processing theory and machine learning |
title_exact_search | Signal processing theory and machine learning |
title_full | Signal processing theory and machine learning editors, Paulo S.R. Diniz, Program of Electrical Engineering and the Department of Electronics and Computer Engineering, COPPE/Poli, Universidade Federal do Rio de Janeiro, Brazil, [and three others] |
title_fullStr | Signal processing theory and machine learning editors, Paulo S.R. Diniz, Program of Electrical Engineering and the Department of Electronics and Computer Engineering, COPPE/Poli, Universidade Federal do Rio de Janeiro, Brazil, [and three others] |
title_full_unstemmed | Signal processing theory and machine learning editors, Paulo S.R. Diniz, Program of Electrical Engineering and the Department of Electronics and Computer Engineering, COPPE/Poli, Universidade Federal do Rio de Janeiro, Brazil, [and three others] |
title_short | Signal processing theory and machine learning |
title_sort | signal processing theory and machine learning |
topic | TECHNOLOGY & ENGINEERING / Mechanical bisacsh Machine learning fast Signal processing fast Signal processing Machine learning |
topic_facet | TECHNOLOGY & ENGINEERING / Mechanical Machine learning Signal processing |
url | http://www.sciencedirect.com/science/book/9780123965028 |
volume_link | (DE-604)BV042918316 |
work_keys_str_mv | AT dinizpaulosergioramirez signalprocessingtheoryandmachinelearning |