Signal Processing and Machine Learning Theory
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- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
Fr. 137.90
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
10.07.2023
Herausgeber
Paulo S. R. DinizVerlag
Elsevier Science & Techn.Seitenzahl
1234 (Printausgabe)
Dateigröße
101328 KB
Sprache
Englisch
EAN
9780323972253
Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc.
- Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools
- Presents core principles in signal processing theory and shows their applications
- Discusses some emerging signal processing tools applied in machine learning methods
- References content on core principles, technologies, algorithms and applications
- Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge
- Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools
- Presents core principles in signal processing theory and shows their applications
- Discusses some emerging signal processing tools applied in machine learning methods
- References content on core principles, technologies, algorithms and applications
- Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge
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