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Blind Channel Equalization For Wireless Communications
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Book Synopsis Blind Channel Equalization for Wireless Communications by : Steven D. Halford
Download or read book Blind Channel Equalization for Wireless Communications written by Steven D. Halford and published by . This book was released on 1997 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a blind channel estimation method for use in the removal of noise and distortion from signals in wireless communication systems. Approaches for blind equalization of communications signals that use transmitter-induced cyclostationarity are also described.
Book Synopsis Blind Channel Equalization and Estimation for Wireless Communications by : Xiangyang Zhuang
Download or read book Blind Channel Equalization and Estimation for Wireless Communications written by Xiangyang Zhuang and published by . This book was released on 2000 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Blind Equalization and Identification by : Zhi Ding
Download or read book Blind Equalization and Identification written by Zhi Ding and published by CRC Press. This book was released on 2018-10-08 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.
Book Synopsis Subspace Method for Blind Equalization of Multiple Time-varying FIR Channels by : Yunhao Tian
Download or read book Subspace Method for Blind Equalization of Multiple Time-varying FIR Channels written by Yunhao Tian and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless communications is the fastest growing segment of communication technologies. In a wireless communication system, the inter-symbol interference (ISI) is a linear distortion which causes decision errors at the receiver. The equalizer is required to remove the ISI. In the past decade, the blind channel equalization has been a popular research topic in the area of wireless communication. A particular class of blind equalization approaches is based on the second order statistics (SOS) of the received signals. Within this framework, subspace methods exploit the orthogonality between the signal and noise subspaces in order to identify the channel characteristics so that the equalizer can be constructed.This thesis investigates a new equalization algorithm for the time-varying (TV) channel under the single-input multiple-output (SIMO) framework. The TV channel is decomposed using arbitrary basis functions associated with time variable properties of the channels...
Book Synopsis Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization by : Yufei Jiang
Download or read book Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization written by Yufei Jiang and published by Springer. This book was released on 2015-12-01 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief investigates the performance of semi-blind independent component analysis (ICA) based equalization and carrier frequency offset estimation approaches (CFO) for a number of orthogonal frequency division multiplexing (OFDM) based wireless communication systems. It provides a comprehensive overview of the challenges of channel equalization and frequency synchronization for different wireless systems. The authors present the wireless communication channel and system models. Key existing CFO estimation methods are reviewed, along with a number of the training based and non-training based (blind) channel estimation methods. This is followed by a study of ICA and its applications to OFDM-based wireless communication systems. Later chapters provide a detailed description of recent research on semi-blind CFO estimation and ICA based equalization approaches for various wireless communication systems including multiple-input multiple-output (MIMO) OFDM and coordinated multipoint (CoMP) systems. Semi-blind CFO estimation and equalization structures provide a spectrum-efficient and high-performance solution for high speed wireless communications. This book is suitable for postgraduate students, researchers or professionals in the area of wireless communications.
Book Synopsis Blind and Semi-blind Channel Equalization for GSM Wireless Communication Systems by : Ge Li
Download or read book Blind and Semi-blind Channel Equalization for GSM Wireless Communication Systems written by Ge Li and published by . This book was released on 1999 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Low Complexity Equalization Approaches in Wireless Communications by : Xiangguo Tang
Download or read book Low Complexity Equalization Approaches in Wireless Communications written by Xiangguo Tang and published by . This book was released on 2002 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fast Convergent Blind Equalization for Wireless Communications by : Zifei Wang
Download or read book Fast Convergent Blind Equalization for Wireless Communications written by Zifei Wang and published by . This book was released on 1998 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Neuro-Fuzzy Equalizers for Mobile Cellular Channels by : K.C. Raveendranathan
Download or read book Neuro-Fuzzy Equalizers for Mobile Cellular Channels written by K.C. Raveendranathan and published by CRC Press. This book was released on 2017-11-22 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a mobile broadband communication channel and designing of a neuro-fuzzy adaptive equalizer for it. This book focuses on the concept of the simulation of wireless channel equalizers using the adaptive-network-based fuzzy inference system (ANFIS). The book highlights a study of currently existing equalizers for wireless channels. It discusses several techniques for channel equalization, including the type-2 fuzzy adaptive filter (type-2 FAF), compensatory neuro-fuzzy filter (CNFF), and radial basis function (RBF) neural network. Neuro-Fuzzy Equalizers for Mobile Cellular Channels starts with a brief introduction to channel equalizers, and the nature of mobile cellular channels with regard to the frequency reuse and the resulting CCI. It considers the many channel models available for mobile cellular channels, establishes the mobile indoor channel as a Rayleigh fading channel, presents the channel equalization problem, and focuses on various equalizers for mobile cellular channels. The book discusses conventional equalizers like LE and DFE using a simple LMS algorithm and transversal equalizers. It also covers channel equalization with neural networks and fuzzy logic, and classifies various equalizers. This being a fairly new branch of study, the book considers in detail the concept of fuzzy logic controllers in noise cancellation problems and provides the fundamental concepts of neuro-fuzzy. The final chapter offers a recap and explores venues for further research. This book also establishes a common mathematical framework of the equalizers using the RBF model and develops a mathematical model for ultra-wide band (UWB) channels using the channel co-variance matrix (CCM). Introduces the novel concept of the application of adaptive-network-based fuzzy inference system (ANFIS) in the design of wireless channel equalizers Provides model ultra-wide band (UWB) channels using channel co-variance matrix Offers a formulation of a unified radial basis function (RBF) framework for ANFIS-based and fuzzy adaptive filter (FAF) Type II, as well as compensatory neuro-fuzzy equalizers Includes extensive use of MATLAB® as the simulation tool in all the above cases
Book Synopsis Blind Equalization for Short Burst Wireless Communications by : Byoung-Jo Jay Kim
Download or read book Blind Equalization for Short Burst Wireless Communications written by Byoung-Jo Jay Kim and published by . This book was released on 1998 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Blind Equalization and System Identification by : Chong-Yung Chi
Download or read book Blind Equalization and System Identification written by Chong-Yung Chi and published by Springer Science & Business Media. This book was released on 2006-01-23 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification. There have been many algorithms developed for these purposes, working with one- or two-dimensional signals and with single-input single-output or multiple-input multiple-output, real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics of these algorithms as well as learning from their different perspectives. "Blind Equalization and System Identification" provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications. This is a textbook for graduate courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications.
Book Synopsis Blind Equalization and System Identification by : Chong-Yung Chi
Download or read book Blind Equalization and System Identification written by Chong-Yung Chi and published by Springer Science & Business Media. This book was released on 2006-05-20 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification. There have been many algorithms developed for these purposes, working with one- or two-dimensional signals and with single-input single-output or multiple-input multiple-output, real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics of these algorithms as well as learning from their different perspectives. "Blind Equalization and System Identification" provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications. This is a textbook for graduate courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications.
Book Synopsis Signal Processing Advances in Wireless and Mobile Communications: Trends in channel estimation and equalization by : Yingbo Hua
Download or read book Signal Processing Advances in Wireless and Mobile Communications: Trends in channel estimation and equalization written by Yingbo Hua and published by Prentice Hall. This book was released on 2001 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is volume 1 of a 2 volume set. This volume focuses on "channel estimation and equalization."
Book Synopsis Blind Equalization and Signal Separation in Wireless Communications by : Jie Zhu
Download or read book Blind Equalization and Signal Separation in Wireless Communications written by Jie Zhu and published by . This book was released on 1997 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Signal Processing Advances in Wireless and Mobile Communications: Trends in channel estimation and equalization by : Georgios B. Giannakis
Download or read book Signal Processing Advances in Wireless and Mobile Communications: Trends in channel estimation and equalization written by Georgios B. Giannakis and published by . This book was released on 2001 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is volume 1 of a 2 volume set. This volume focuses on "channel estimation and equalization."
Book Synopsis Wireless Communication Systems by : Ke-Lin Du
Download or read book Wireless Communication Systems written by Ke-Lin Du and published by Cambridge University Press. This book was released on 2010-04-15 with total page 1020 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practically-oriented, all-inclusive guide covers all the major enabling techniques for current and next-generation cellular communications and wireless networking systems. Technologies covered include CDMA, OFDM, UWB, turbo and LDPC coding, smart antennas, wireless ad hoc and sensor networks, MIMO, and cognitive radios, providing readers with everything they need to master wireless systems design in a single volume. Uniquely, a detailed introduction to the properties, design, and selection of RF subsystems and antennas is provided, giving readers a clear overview of the whole wireless system. It is also the first textbook to include a complete introduction to speech coders and video coders used in wireless systems. Richly illustrated with over 400 figures, and with a unique emphasis on practical and state-of-the-art techniques in system design, rather than on the mathematical foundations, this book is ideal for graduate students and researchers in wireless communications, as well as for wireless and telecom engineers.
Book Synopsis Machine Learning for Future Wireless Communications by : Fa-Long Luo
Download or read book Machine Learning for Future Wireless Communications written by Fa-Long Luo and published by John Wiley & Sons. This book was released on 2020-02-10 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
