Signal Processing and Machine Learning Theory (Academic Press Library in Signal Processing) - Softcover

Softcover

ISBN 10: 0323917720 ISBN 13: 9780323917728

Verlag: Academic Press, 2023

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Paulo S. R. Diniz’s teaching and research interests are in analog and digital signal processing, adaptive signal processing, digital communications, wireless communications, multirate systems, stochastic processes, and electronic circuits. He has published over 300 refereed papers in some of these areas and wrote two textbooks and a research book. He has received awards for best papers and technical achievements

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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 emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc.

Details zur Ausgabe

• Verlag: Academic Press
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 0323917720
• ISBN 13: 9780323917728
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 1234
• Herausgeber: Diniz Paulo S.R.
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: eVatmaster Consulting GmbH; 497000000000; contact@evatmaster.com; ; Bettinastr. 30,60325; Frankfurt am Main; 60325; Deutschland