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Academic Press' Library in Signal Processing Vol. 1 : Signal Processing Theory, Speech and Acoustic Processing, and Machine Learning,9780123965028
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Academic Press' Library in Signal Processing Vol. 1 : Signal Processing Theory, Speech and Acoustic Processing, and Machine Learning

by ; ; ;
ISBN13:

9780123965028

ISBN10:
0123965020
Format:
Hardcover
Pub. Date:
10/7/2013
Publisher(s):
Academic Pr
List Price: $295.00

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This is the edition with a publication date of 10/7/2013.
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  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.
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Summary

Aimed at university researchers, post graduate students and R&D engineers in industry, this reference gives tutorial-based, comprehensive reviews of key topics and technologies of research in signal processing theory, speech and acoustic processing, and machine learning, giving an invaluable starting point to the area through the insight and understanding that they provide. This edition is one of three with the two others entitled: Statistical, Wireless, Array and Radar Signal Processing (ISBN 9780123965004) Image, Video and Biomedical Signal Processing, and Hardware (ISBN 9780123965011) Features of this book include: Quick tutorial reviews of important and emerging topics of research in signal, speech, acoustic, image and video processing. Reference content on core principles, technologies, algorithms and applications Edited and contributed by leading figures in the field Comprehensive references to journal articles and other literature upon which to build further , more detailed knowledge With this reference source you will Quickly grasp an area of research with which you are unfamiliar Understand the underlying principles of a topic 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 signal, speech, acoustic, image and video processing Reference content on core principles, technologies, algorithms and applications Edited and contributed by leading figures in the field


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