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

By: Federal University of Rio de Janeiro (UFRJ) Program of Electrical Engineering (COPPE) Paulo S.R. (Edited by)

Extended Catalogue

Ksh 30,150.00

Format: Paperback or Softback

ISBN-10: 0323917720

ISBN-13: 9780323917728

Collection / Series: Academic Press Library in Signal Processing

Collection Type: Publisher collection

Publisher: Elsevier Science & Technology

Imprint: Academic Press Inc

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 29th, 2023

Publication Status: Active

Product extent: 1234 Pages

Weight: 1832.00 grams

Dimensions (height x width x thickness): 19.40 x 39.00 x 4.50 cms

Product Classification / Subject(s): Machine learning
Signal processing

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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 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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