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Neuro-fuzzy equalizers for mobile cellular channels / K.C. Raveendranathan, Ph.D.

By: Raveendranathan, K. C [author.].
Material type: materialTypeLabelBookPublisher: Boca Raton [Florida] : Taylor & Francis/CRC Press, 2014Description: 1 online resource.ISBN: 9781466581555.Subject(s): Wireless communication systems | Mobile communication systems | Fuzzy systems | Neural networks (Computer science)Additional physical formats: Print version: : No titleDDC classification: 621.38456 Online resources: Click here to view.
Contents:
1. Introduction -- 2. Overview of mobile channels and equalizers -- 3. Neuro-fuzzy equalizers for cellular channels -- 4. ANFIS-based channel equalizer -- 5. Compensatory neuro-fuzzy filter (CNFF) -- 6. Radial basis function framework -- 7. Modular approach to channel equalization -- 8. OFDM and spatial diversity -- 9. Conclusion.
Summary: This book introduces the concepts of channel equalizers for cellular channels. Modeling and simulation of wireless channels forms part of the discussion. The book begins with a brief introduction to mobile wireless channels and their equalization. It then gives a detailed discussion on contemporary equalization schemes, with reference to the vast literature in this area. The author carefully brings in the concept of neuro-fuzzy channel equalization and discusses various types. -- Provided by publisher.
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1. Introduction -- 2. Overview of mobile channels and equalizers -- 3. Neuro-fuzzy equalizers for cellular channels -- 4. ANFIS-based channel equalizer -- 5. Compensatory neuro-fuzzy filter (CNFF) -- 6. Radial basis function framework -- 7. Modular approach to channel equalization -- 8. OFDM and spatial diversity -- 9. Conclusion.

This book introduces the concepts of channel equalizers for cellular channels. Modeling and simulation of wireless channels forms part of the discussion. The book begins with a brief introduction to mobile wireless channels and their equalization. It then gives a detailed discussion on contemporary equalization schemes, with reference to the vast literature in this area. The author carefully brings in the concept of neuro-fuzzy channel equalization and discusses various types. -- Provided by publisher.

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