Download An Introduction to Statistical Communication Theory: An IEEE by David Middleton PDF

By David Middleton

This IEEE vintage Reissue offers at a sophisticated point, a uniquely basic exposition of the purposes of Statistical communique conception to an unlimited spectrum of vital actual difficulties. incorporated are common research of sign detection, estimation, dimension, and similar issues regarding details transfer.

Using the statistical Bayesian point of view, well known writer David Middleton employs statistical choice concept particularly adapted for the overall projects of sign processing. Dr. Middleton additionally offers a different specialise in actual modeling of the canonical channel with real-world examples when it comes to radar, sonar, and normal telecommunications. This e-book deals a close therapy and an array of difficulties and effects spanning an extremely huge diversity of technical matters within the communications field.

Complete with exact features, integrals, ideas of crucial equations, and an in depth, up-to-date bibliography via bankruptcy, An advent to Statistical verbal exchange conception is a seminal reference, relatively for someone operating within the box of communications, in addition to in different parts of statistical physics. (Originally released in 1960.)

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Additional resources for An Introduction to Statistical Communication Theory: An IEEE Press Classic Reissue

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1 Forecasting Spectrum Usage of SU . . . . . . . . . . . . . . 2 Forecasting Spectrum Usage of PU . . . . . . . . . . . . . 5 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . 1 Simulated CRN . . . . . . . . . . . . . . . . . . . . . . . . 2 Measured Data Analysis . . . . . . . . . . . . . . . . . . . 6 Conclusion . . . . . . . . .

IEEE Communications Magazine. 46(4), pp. 40–48 (Apr. 2008). © 2009 by Taylor & Francis Group, LLC P1: Binaya Dash November 21, 2008 15:40 AU6420 AU6420˙C001 Spectrum Sensing Algorithms for Cognitive Radio Networks 35 [12] W. Y. Lee and I. F. Akyildiz. Optimal spectrum sensing framework for cognitive radio networks. To appear in IEEE Transactions an Wireless Communications (2008). [13] K. Sriram and W. Whitt, Characterizing superposition arrival processes in packet multiplexers for voice and data, IEEE Journal on Selected Areas in Communications.

Hence, novel spectrum sensing algorithms need to be developed such that the number of samples needed to detect the primary user is minimized within a given detection error probability. In this sense, cooperative spectrum sensing mechanisms can be exploited to overcome the constraints of each cognitive radio. 23–26 On the other hand, such a collaboration increases the communication overhead and may lead to overall system performance degradation when channel capacity or energy consumption are considered.

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