Signal processing theory and machine learning:
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: Qu...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier/Academic Press
2014
|
| Ausgabe: | First edition |
| Schlagworte: | |
| Online-Zugang: | FLA01 Volltext Volltext |
| Zusammenfassung: | 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: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource (1559 pages) illustrations, portraits (some color) |
| ISBN: | 9780123972262 0123972264 |
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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] |
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| 500 | |a Includes bibliographical references and index | ||
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
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| format | Electronic eBook |
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| id | DE-604.BV046126240 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:53Z |
| institution | BVB |
| isbn | 9780123972262 0123972264 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031506693 |
| oclc_num | 861537310 |
| open_access_boolean | |
| physical | 1 online resource (1559 pages) illustrations, portraits (some color) |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Elsevier/Academic Press |
| record_format | marc |
| 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 resource (1559 pages) illustrations, portraits (some color) txt rdacontent c rdamedia cr rdacarrier 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 S. R. Sonstige oth Erscheint auch als Druck-Ausgabe 0123965020 Erscheint auch als Druck-Ausgabe 9780123965028 http://www.sciencedirect.com/science/book/9780123965028 Verlag URL des Erstveröffentlichers Volltext http://www.sciencedirect.com/science/bookseries/23519819/1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Signal processing theory and machine learning 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 http://www.sciencedirect.com/science/bookseries/23519819/1 |
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