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Download Signal Processing for Cognitive Radios fb2

by Sudharman K. Jayaweera
Download Signal Processing for Cognitive Radios fb2
Engineering
  • Author:
    Sudharman K. Jayaweera
  • ISBN:
    1118824938
  • ISBN13:
    978-1118824931
  • Genre:
  • Publisher:
    Wiley; 1 edition (December 3, 2014)
  • Pages:
    768 pages
  • Subcategory:
    Engineering
  • Language:
  • FB2 format
    1700 kb
  • ePUB format
    1602 kb
  • DJVU format
    1737 kb
  • Rating:
    4.8
  • Votes:
    695
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This book examines signal processing techniques for cognitive radios. Sudharman K. Jayaweera earned his BE in Electrical Engineering from the University of Melbourne, Australia.

This book examines signal processing techniques for cognitive radios. Dr. Jayaweera is a senior member of the IEEE.

This book examines signal processing techniques for cognitive radios

This book examines signal processing techniques for cognitive radios. The book is divided into three parts: Part I, is an introduction to cognitive radios and presents a history of the cognitive radio (CR), and introduce their architecture, functionalities, ideal aspects, hardware platforms, and state-of-the-art developments.

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This book examines signal processing techniques for cognitive radios Sudharman K. Jayaweera. Place of Publication. Product Identifiers.

In book: Signal Processing for Cognitive Radios, p. 47-703

In book: Signal Processing for Cognitive Radios, p. 47-703. Cite this publication. This chapter focuses on identification of value of learning ability to a cognitive radio and investigation of various machine learning algorithms and their uses in achieving the objectives of a cognitive radio. One of the commonly used learning frameworks in various application contexts is the artificial neural networks (ANNs). He earned his MA and PhD degrees in Electrical Engineering from Princeton University, USA. He is currently an Associate Professor in Electrical Engineering at the University of New Mexico, Albuquerque, NM, USA.

Sudharman K. University of New Mexico. John Wiley & Sons, Incorporated, 2015. Wideband spectrum sensing and non-parametric signal classification for autonomous self-learning cognitive radios. M Bkassiny, SK Jayaweera, Y Li, KA Avery. IEEE Transactions on Wireless Communications 11 (7), 2596-2605, 2012. Radiobots: Architecture, algorithms and realtime reconfigurable antenna designs for autonomous, self-learning future cognitive radios. S Jayaweera, C Christodoulou. He is also the author of the 2014 Wiley book titled "Signal Processing for Cognitive Radios". He is a senior member of IEEE. Wireless and digital communications. Part III of the book, Signal Processing in Radios, identifies the key signal processing, inference, and learning tasks to be performed by wideband autonomous cognitive radios. The author provides signal processing solutions to each task by relating the tasks to materials covered in Part II. Specialized chapters then discuss specific signal processing algorithms required for DSA and DSS cognitive radios. Signal Processing for Cognitive Radios - eBook.

This book examines signal processing techniques for cognitive radios. The book is divided into three parts:

Part I, is an introduction to cognitive radios and presents a history of the cognitive radio (CR), and introduce their architecture, functionalities, ideal aspects, hardware platforms, and state-of-the-art developments. Dr. Jayaweera also introduces the specific type of CR that has gained the most research attention in recent years: the CR for Dynamic Spectrum Access (DSA).Part II of the book, Theoretical Foundations, guides the reader from classical to modern theories on statistical signal processing and inference. The author addresses detection and estimation theory, power spectrum estimation, classification, adaptive algorithms (machine learning), and inference and decision processes. Applications to the signal processing, inference and learning problems encountered in cognitive radios are interspersed throughout with concrete and accessible examples.Part III of the book, Signal Processing in Radios, identifies the key signal processing, inference, and learning tasks to be performed by wideband autonomous cognitive radios. The author provides signal processing solutions to each task by relating the tasks to materials covered in Part II. Specialized chapters then discuss specific signal processing algorithms required for DSA and DSS cognitive radios.