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Synopsis
In wireless communication systems, a signal that travels from transmitter to receiver gets corrupted due to various interference effects, distortions, noises and multipath problems. Signal also undergoes scattering for each major path. Multipath propagation causes fluctuations in amplitude, phase and angle of arrival of the received signal giving rise to fading of the signal. Conventional receivers are unable to compensate for nonlinearities and other complex problems. Some computational intelligence is required to deal with fading multipath issues. Intelligent systems are able to identify the problem and take necessary corrective action in the light of ongoing events of their own. Neural networks are non-rule based intelligent systems with adaptive feature that aim to perceive and comprehend significance of data with which they are trained. This thesis presents a neural network based; high power amplifier (HPA) characteristics independent, adaptive method for compensation of nonlinear distortions for OFDM based wireless communication system.
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About the Author
Prof. Shubhangi Rathkanthiwar: YCCE, Nagpur,India. Publications: Conference-46,Journals-05Dr. Kishore Kulat: Professor & Head, Electronics Dept. ,VNIT, Nagpur, India. Publications: Conference-100 Journals-50, Guided 23 Ph.D. candidates Dr.Chandrasekhar G. Dethe: Principal,PIET, Nagpur, MS, India Guided 8 Ph.D. candidates
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An intelligent WLAN system
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LAP Lambert Academic Publishing Apr 2017, 2017
ISBN 10: 3659158380
ISBN 13: 9783659158384
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In wireless communication systems, a signal that travels from transmitter to receiver gets corrupted due to various interference effects, distortions, noises and multipath problems. Signal also undergoes scattering for each major path. Multipath propagation causes fluctuations in amplitude, phase and angle of arrival of the received signal giving rise to fading of the signal. Conventional receivers are unable to compensate for nonlinearities and other complex problems. Some computational intelligence is required to deal with fading multipath issues. Intelligent systems are able to identify the problem and take necessary corrective action in the light of ongoing events of their own. Neural networks are non-rule based intelligent systems with adaptive feature that aim to perceive and comprehend significance of data with which they are trained. This thesis presents a neural network based; high power amplifier (HPA) characteristics independent, adaptive method for compensation of nonlinear distortions for OFDM based wireless communication system. 268 pp. Englisch. Seller Inventory # 9783659158384
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An intelligent WLAN system | Performance evaluation in multipath fading environment
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659158380
ISBN 13: 9783659158384
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Taschenbuch. Condition: Neu. An intelligent WLAN system | Performance evaluation in multipath fading environment | Shubhangi Rathkanthiwar (u. a.) | Taschenbuch | 268 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659158384 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106381601
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An intelligent WLAN system
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LAP LAMBERT Academic Publishing Jun 2012, 2012
ISBN 10: 3659158380
ISBN 13: 9783659158384
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In wireless communication systems, a signal that travels from transmitter to receiver gets corrupted due to various interference effects, distortions, noises and multipath problems. Signal also undergoes scattering for each major path. Multipath propagation causes fluctuations in amplitude, phase and angle of arrival of the received signal giving rise to fading of the signal. Conventional receivers are unable to compensate for nonlinearities and other complex problems. Some computational intelligence is required to deal with fading multipath issues. Intelligent systems are able to identify the problem and take necessary corrective action in the light of ongoing events of their own. Neural networks are non-rule based intelligent systems with adaptive feature that aim to perceive and comprehend significance of data with which they are trained. This thesis presents a neural network based; high power amplifier (HPA) characteristics independent, adaptive method for compensation of nonlinear distortions for OFDM based wireless communication system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 268 pp. Englisch. Seller Inventory # 9783659158384
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An intelligent WLAN system : Performance evaluation in multipath fading environment
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659158380
ISBN 13: 9783659158384
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In wireless communication systems, a signal that travels from transmitter to receiver gets corrupted due to various interference effects, distortions, noises and multipath problems. Signal also undergoes scattering for each major path. Multipath propagation causes fluctuations in amplitude, phase and angle of arrival of the received signal giving rise to fading of the signal. Conventional receivers are unable to compensate for nonlinearities and other complex problems. Some computational intelligence is required to deal with fading multipath issues. Intelligent systems are able to identify the problem and take necessary corrective action in the light of ongoing events of their own. Neural networks are non-rule based intelligent systems with adaptive feature that aim to perceive and comprehend significance of data with which they are trained. This thesis presents a neural network based; high power amplifier (HPA) characteristics independent, adaptive method for compensation of nonlinear distortions for OFDM based wireless communication system. Seller Inventory # 9783659158384
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An intelligent WLAN system: Performance evaluation in multipath fading environment
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