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dc.contributor.authorChellappa, Ramaen_US
dc.contributor.authorTheodoridis, Sergiosen_US
dc.date.accessioned2016-06-13T03:07:03Z
dc.date.available2016-06-13T03:07:03Z
dc.date.issued2014en_US
dc.identifier.isbn978-0-12-396502-8en_US
dc.identifier.otherHPU2160049en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/21359
dc.description.abstractThis first volume, 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 application Ascertain 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 learning. Presents core principles in signal processing theory and shows their applications Reference 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.en_US
dc.format.extent1519 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.relation.ispartofseriesAcademic Press library in signal processing, volume 1en_US
dc.subjectSignalsen_US
dc.subjectSignals processingen_US
dc.subjectTimesSignalsen_US
dc.titleSignal Processing Theory and Machine Learningen_US
dc.typeBooken_US
dc.size36.9 MBen_US
dc.departmentEnglish resourcesen_US


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