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 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.
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Taschenbuch. Condition: 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 computing 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. Seller Inventory # 9786139912230
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Condition: 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. Seller Inventory # 385876981
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Taschenbuch. Condition: Neu. 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 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. Seller Inventory # 9786139912230
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Taschenbuch. Condition: 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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 114870416
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