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Engineering - Circuits & Systems | Blind Signal Classification Algorithms for Cognitive Radios

Blind Signal Classification Algorithms for Cognitive Radios

Ramkumar, B., Bose, T., Babaei, A., Tranter, W.H.

2015, Approx. 250 p. 125 illus.

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ISBN 978-1-4614-3882-3

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  • About this book

  • Provides a comprehensive tutorial to signal classification for cognitive radios
  • Enables design of cognitive radios that can characterize the environment in which they operate
  • Guides readers to choose the right signal classification algorithm for a particular scenario
  • Includes a newly developed, multiuser signal classification algorithm, as well as other techniques for design of components to work in conjunction with the signal classifier
This book provides a comprehensive tutorial to signal classification, an important signal processing technique that enables cognitive radios to identify the kind of users present in a frequency band, helping a radio to characterize the environment in which it is operating.  Engineers involved in the design and implementation of cognitive radio receivers will benefit from this book’s coverage of a newly developed, multiuser signal classification algorithm, as well as techniques for design of other components to work in conjunction with the signal classifier, such as blind equalizers, blind channel estimators, and cognitive engines.

Content Level » Professional/practitioner

Keywords » Analog Circuits and Signal Processing - Blind Channel Estimators - Blind Equalizers - Blind Signal Classification - Cognitive Engines - Cognitive Radio - Multiuser Signal Classification - Signal Classification - Software Radio

Related subjects » Circuits & Systems - Electronics & Electrical Engineering - Signals & Communication

Table of contents 

Single User Signal Classifier.- Multiuser Signal Classifier.- Combined SISO Blind Equalizer and Signal Classifier.- Combined MIMO Blind Equalizer and Multiuser Classifier.- Distributed Signal Classification.

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