9786139912230 - soft computing approach to design adaptive channel equalizer von sinha, rashmi; mahto, santosh kumar; choubey, arvind (6 Ergebnisse)
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Taschenbuch. Zustand: Neu. Soft Computing Approach to Design Adaptive Channel Equalizer | Rashmi Sinha (u. a.) | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139912230 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de |…Anbieter: preigu.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Adaptive Channel Equalizer provides efficient, robust, reliable and successful communication of data or message through imperfect channels which is one of the major triumphs of engineering technology. The key advantage of soft computi…ng approach to design channel equalizer and for system identification task is the ease of implementation, both in terms of coding and parameter selection. The contributions of various landmark publications on hard computing as well as soft computing based adaptive filter, especially for channel equalization and identification task have been presented in this book. The book contains a detailed survey of literature on the usage of structured stochastic soft computing algorithms that are capable of quickly and effectively adapting the coefficients of a wide variety of FIR and nonlinear structures as compared to classical adaptive algorithms. However, no single algorithm is sufficient to solve all types of optimization problem. Aptness of a particular algorithm depends on specific application. 56 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: Sinha RashmiDr Rashmi Sinha received her B.Sc (Engineering), M.Sc (Engineering)& Ph.D degree from National Institute of Technology, Jamshedpur, India. In 1997, she joined the Department of Electronic and…Communication Engineering, N.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Adaptive Channel Equalizer provides efficient, robust, reliable and successful communication of data or message through imperfect channels which is one of the major triumphs of engineering technology. The key advantage of soft computing a…pproach to design channel equalizer and for system identification task is the ease of implementation, both in terms of coding and parameter selection. The contributions of various landmark publications on hard computing as well as soft computing based adaptive filter, especially for channel equalization and identification task have been presented in this book. The book contains a detailed survey of literature on the usage of structured stochastic soft computing algorithms that are capable of quickly and effectively adapting the coefficients of a wide variety of FIR and nonlinear structures as compared to classical adaptive algorithms. However, no single algorithm is sufficient to solve all types of optimization problem. Aptness of a particular algorithm depends on specific application.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Adaptive Channel Equalizer provides efficient, robust, reliable and successful communication of data or message through imperfect channels which is one of the major triumphs of engineering technology. The key advantage of soft computing ap…proach to design channel equalizer and for system identification task is the ease of implementation, both in terms of coding and parameter selection. The contributions of various landmark publications on hard computing as well as soft computing based adaptive filter, especially for channel equalization and identification task have been presented in this book. The book contains a detailed survey of literature on the usage of structured stochastic soft computing algorithms that are capable of quickly and effectively adapting the coefficients of a wide variety of FIR and nonlinear structures as compared to classical adaptive algorithms. However, no single algorithm is sufficient to solve all types of optimization problem. Aptness of a particular algorithm depends on specific application.
