Equalization techniques vehicular wireless von agarwal amit (6 Ergebnisse)
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Paperback. Zustand: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.
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Taschenbuch. Zustand: Neu. Equalization techniques for Vehicular Wireless Channels | Amit Agarwal (u. a.) | Taschenbuch | 68 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659923340 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbie…ter: preigu.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book authors have presented performance analysis of different equalization techniques such as minimum mean-squared error (MMSE), Least mean square (LMS), Recursive Least Square (RLS) linear equalizers and MMSE-Decision Feedbac…k equalizer (DFE),LMS-DFE, RLS-DFE non-linear equalizers in different channel conditions, in order to achieve optimal equalizer. In the simulation model authors have considered quaternary phase-shift keying (QPSK) modulation scheme under Additive White Gaussian Noise (AWGN), lognormal and Rician channel conditions. The analysis of Linear and Non-linear equalization in different channels are performed and as an outcome one can conclude that standard Decision Feedback Equalization (DFE-Non linear Equalizer) methods are clearly outperformed the Linear equalizer by means of the Bit Error Rate (BER) performance. Authors have used the MATLAB Simulation platform to show that the DFE provide better performance in low SNR region with respect to that of linear equalizer over AWGN, Rician and log-normal channels. And performance improvement by using MIMO system have been analyzed. 68 pp. Englisch.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Agarwal AmitAmit Agarwal,Studied M.Tech in Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India.In this book authors have presented performance analysis of different equalizati…on techniques such as min.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book authors have presented performance analysis of different equalization techniques such as minimum mean-squared error (MMSE), Least mean square (LMS), Recursive Least Square (RLS) linear equalizers and MMSE-Decision Feedback eq…ualizer (DFE),LMS-DFE, RLS-DFE non-linear equalizers in different channel conditions, in order to achieve optimal equalizer. In the simulation model authors have considered quaternary phase-shift keying (QPSK) modulation scheme under Additive White Gaussian Noise (AWGN), lognormal and Rician channel conditions. The analysis of Linear and Non-linear equalization in different channels are performed and as an outcome one can conclude that standard Decision Feedback Equalization (DFE-Non linear Equalizer) methods are clearly outperformed the Linear equalizer by means of the Bit Error Rate (BER) performance. Authors have used the MATLAB Simulation platform to show that the DFE provide better performance in low SNR region with respect to that of linear equalizer over AWGN, Rician and log-normal channels. And performance improvement by using MIMO system have been analyzed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book authors have presented performance analysis of different equalization techniques such as minimum mean-squared error (MMSE), Least mean square (LMS), Recursive Least Square (RLS) linear equalizers and MMSE-Decision Feedback equ…alizer (DFE),LMS-DFE, RLS-DFE non-linear equalizers in different channel conditions, in order to achieve optimal equalizer. In the simulation model authors have considered quaternary phase-shift keying (QPSK) modulation scheme under Additive White Gaussian Noise (AWGN), lognormal and Rician channel conditions. The analysis of Linear and Non-linear equalization in different channels are performed and as an outcome one can conclude that standard Decision Feedback Equalization (DFE-Non linear Equalizer) methods are clearly outperformed the Linear equalizer by means of the Bit Error Rate (BER) performance. Authors have used the MATLAB Simulation platform to show that the DFE provide better performance in low SNR region with respect to that of linear equalizer over AWGN, Rician and log-normal channels. And performance improvement by using MIMO system have been analyzed.
