Blind Equalization and System Identification
Blind Equalization and System IdentificationAvailable for download Blind Equalization and System Identification
Book Details:
Date: 30 Aug 2008Publisher: Springer
Language: English
Book Format: Paperback::484 pages
ISBN10: 1848004087
ISBN13: 9781848004085
Dimension: 156x 234x 25mm::671g
Download Link: Blind Equalization and System Identification
Available for download Blind Equalization and System Identification. The problem of blind channel equalization can be described using the simple system diagram shown in Figure 2.1. The complex baseband model for a typical QAM. Skip to main content. T&F logo. Search: Search all titles. DOI link for Blind Equalization and Identification. Blind Equalization and Identification book. Blind Equalization and Basis Expansion Models and Diversity Techniques for Blind Identification and Equalization of Time-Varying Channels (1998) Cached. Download Links [ ] Identification of linear stochastic system via second and fourth-order cumulant matching[J - Tugnait Abstract: Wireless systems employing multiple antennas at the transmitter and the receiver have been shown to have the potential of achieving extraordinary bit rates. Orthogonal frequency division multiplexing (OFDM) significantly reduces the receiver complexity in multiantenna broadband systems. We introduce an algorithm for blind channel identification and equalization in OFDM-based Blind Channel Identification and Equalization in OFDM-Based Multiantenna Systems Helmut Bölcskei, Member, IEEE, Robert W. Heath, Jr., Student Member, IEEE, and Arogyaswami J. Paulraj, Fellow, IEEE Abstract— Wireless systems employing multiple antennas at the transmitter and the receiver have recently been shown to have Blind Equalization and Identification for Differential Space-time Modulated Communication Systems Wei Hu, M.S. The Ohio State University, 2002 Prof. Philip Schniter, Adviser The capacity of wireless communication systems over fading channels is enhanced the use of multiple antennas at the transmitter and receiver. Differential space-time Blind Equalization and Identification - CRC Press Book This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. We consider blind equalization for block transmissions over the frequency selective Rayleigh fading channel. In the absence of pilot symbols, the receiver must be able to perform joint equalization and blind channel identification. Relying on a mixed discrete-continuous state-space representation of the communication system, we introduce a blind Bayesian equalization algorithm based on a Blind Iterative Channel.Identification and Equalization R. R. Lopes and J. R. Barry School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA 30332-0250 Abstract -We propose an iterative solution to the problem of blindly and jointly identifying the channel response and In this paper a new algorithm based on subspace projections is developed for the blind equalization and kernel identification of linear FIR Multiple Input Multiple Output (MIMO) as well as nonlinear FIR SIMO Volterra systems. Simulations in the context of blind channel equalization show good performance in comparison to existing schemes. mitigated equalization. Since training sequences reduce system throughput, blind equalization may be more promising. For single-input-single-output (SISO) systems, blind equalization has to utilize higher-than-second order statistics and/or nonlinear optimization, which causes local and slow convergence. Blind System Identification - Free download as Powerpoint Presentation (.ppt), PDF File (.pdf), Text File (.txt) or view presentation slides online. Presentation on the basics of blind system identification. Identifying the system characteristics without knowing the input. A new blind channel identification and equalization method is proposed that exploits the cyclostationarity of oversampled communication signals to achieve identification and equalization of possibly nonminimum phase (multipath) channels without using training signals. Chii-Horng Chen & Ching-Yung Chen Blind Equalization and System Identification Batch Processing Algorithms, Performance and Applications Compre o livro Blind Equalization and Identification: 9 na confira as ofertas para livros em inglês e importados Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications Chong-Yung Chi PhD, Chii-Horng Chen PhD, Chih-Chun Feng PhD, Ching-Yung Chen PhD Blind Equalization and System Identification provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications. Topics covered include: • SISO, MIMO and 2-d non-blind equalization (deconvolution) algorithms; Blind Equalization and System Identification von Chii-Horng Chen, Ching-Yung Chen, Chong-Yung Chi, Chih-Chun Feng (ISBN 978-1-84628-218-8) online kaufen | Sofort-Download - BLIND IDENTIFICATION AND EQUALIZATION OF DOWNLINK TCM CODED MC-CDMA SYSTEMS USING CUMULANTS S. Safi, M. Frikel, M. M’Saad,and A. Zeroual … Blind equalization based on fourth-order cumulants. Mekki Ksouri. Download with Google Download with Facebook or download with email. Blind equalization based on fourth-order cumulants. Download. Blind equalization based on fourth-order cumulants. Subspace based blind identification of LTI FIR MIMO systems and equalization of finite memory SIMO Volterra systems Author links open overlay panel Diamantis Kotoulas a Panos Koukoulas b … Then, we extend the identification algorithms for single-input/multiple- output (FIR-SIMO) channels, such as the algebraic algorithm and the subspace algorithms to the identification of the MIMO FIR channels. The MIMO systems can also be directly equalized using blind techniques. Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications C.-Y. Chi. New/New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed! Blind equalization and system identification Chong-Yung Chi, 2004, Springer edition, in English Blind Equalization and System Identification provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications. Topics covered include: a SISO, MIMO and 2-d non-blind equalization (deconvolution) algorithms; a SISO, MIMO and 2-d blind equalization Publication Blind Equalization and System Identification. Discrete-time signal processing has had a momentous impact on advances in engineering and science over recent decades. The rapid progress of digital and mixed-signal integrated circuits in pro Orthogonal frequency division multiplexing (OFDM) significantly reduces receiver complexity in multiantenna broadband systems. We introduce an algorithm for blind channel identification and equalization in OFDM-based multi-antenna systems. Blind Channel Identification and Equalization in OFDM-Based Multiantenna Systems Helmut Bölcskei, Member, IEEE, Robert W. Heath, Jr., Student Member, IEEE, and Arogyaswami J. Paulraj, Fellow, IEEE Abstract—Wireless systems employing multiple antennas at the transmitter and the receiver have recently been shown to have Blind System Identification and Equalization Toolbox. This is a pre-release version of our BSIE Toolbox. Please understand this is a work-in-progress. Authors: Emanuel A. P. Habets and Patrick A. Naylor. All enquiries to Compre o livro Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications na confira as ofertas para livros em inglês e importados Blind equalization and identification of nonlinear and IIR systems - A least squares approach
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