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Lajos Hanzo - One of the best experts on this subject based on the ideXlab platform.

  • Turbo Coding, Turbo Equalisation and Space-Time Coding: EXIT-Chart-Aided Near-Capacity Designs for Wireless Channels, Second Edition - Turbo Equalisation for Partialresponse Systems
    Turbo Coding Turbo Equalisation and Space-Time Coding, 2011
    Co-Authors: Lajos Hanzo, T. H. Liew, B. L. Yeap, R. Y. S. Tee
    Abstract:

    This chapter contains sections titled: Motivation Principle of Turbo Equalisation Using Single/Multiple Decoder(s) Soft-in/Soft-out Equaliser for Turbo Equalisation Soft-in/Soft-out Decoder for Turbo Equalisation Turbo Equalisation Example Summary of Turbo Equalisation Performance of Coded GMSK Systems Using Turbo Equalisation Discussion of Results Summary and Conclusions ]]>

  • semi blind adaptive spatial equalization for mimo systems with high order qam signalling
    IEEE Transactions on Wireless Communications, 2008
    Co-Authors: Sheng Chen, W Yao, Lajos Hanzo
    Abstract:

    This contribution investigates semi-blind adaptive spatial filtering or Equalisation for multiple-input multiple-output (MIMO) systems that employ high-throughput quadrature amplitude modulation (QAM) signalling. A minimum number of training symbols, equal to the number of receivers (we assume that the number of transmitters is no more than that of receivers), are first utilized to provide a rough least squares channel estimate of the system is MIMO channel matrix for the initialization of the spatial equalizer is weight vectors. A constant modulus algorithm aided soft decision-directed blind algorithm, originally derived for blind equalization of single-input single-output and single-input multiple-output systems employing high-order QAM signalling, is then extended to adapt the spatial equalizers for MIMO systems. This semi-blind scheme has a low computational complexity, and our simulation results demonstrate that it converges fast to the minimum mean-square-error spatial equalization solution.

  • turbo coding turbo Equalisation and space time coding for transmission over fading channels
    2002
    Co-Authors: Lajos Hanzo
    Abstract:

    Acknowledgments.Historical Perspective, Motivation and Outline. I Convolutional and Block Coding. Convolutional Channel Coding. Block Coding. Soft Decoding and Performance of BCH Codes. II Turbo Convolutional and Turbo Block Coding. Turbo Convolutional Coding. The Super Trellis Structure of Convolutional Turbo Codes. Turbo BCH Coding. Redundant Residue Number System Codes. III Coded Modulation: TCM, TTCM, BICM, BICM ID. Coded Modulation Theory and Performance. IV Space Time Block and Space Time Trellis Coding. Space time Block Codes. Space Time Trellis Codes. Turbo coded Adaptive QAM versus Space time Trellis Coding. V Turbo Equalisation. Turbo coded Partial response Modulation. Turbo Equalisation for Partial response Systems. Turbo Equalisation Performance Bound. Comparative Study of Turbo Equalisers. Reduced complexity Turbo Equaliser. Turbo Equalisation for Space time Trellis coded Systems. Summary and Conclusions. Bibliography. Subject Index. Author Index. About the Authors.Other Related Wiley and IEEE Press Books.

  • turbo coding turbo Equalisation and space time coding
    2002
    Co-Authors: Lajos Hanzo, T. H. Liew, B. L. Yeap
    Abstract:

    Against the backdrop of the emerging 3G wireless personal communications standards and broadband access network standard proposals, this volume covers a range of coding and transmission aspects for transmission over fading wireless channels. It presents the most important classic channel coding issues and also the exciting advances of the last decade, such as turbo coding, turbo Equalisation and space-time coding. It endeavours to be the first book with explicit emphasis on channel coding for transmission over wireless channels. Divided into 4 parts: Part 1 - explains the necessary background for novices. It aims to be both an easy reading text book and a deep research monograph. Part 2 - provides detailed coverage of turbo conventional and turbo block coding considering the known decoding algorithms and their performance over Gaussian as well as narrowband and wideband fading channels. Part 3 - comprehensively discusses both space-time block and space-time trellis coding for the first time in literature. Part 4 - provides an overview of turbo Equalisations, also referred to as turbo demodulation. The book systematically converts the lessons of Shannon's information theory into design principles applicable to practical wireless systems. It provides overall design performance studies, giving cognizance to the contradictory design requirements of bit error rate, implementational complexity, coding and interleaving delay, effective throughput, coding rate and other related systems design aspects in a comprehensive manner.

Sara Silva - One of the best experts on this subject based on the ideXlab platform.

  • GECCO - Reassembling operator Equalisation: a secret revealed
    Proceedings of the 13th annual conference on Genetic and evolutionary computation - GECCO '11, 2011
    Co-Authors: Sara Silva
    Abstract:

    The recent Crossover Bias theory has shown that bloat in Genetic Programming can be caused by the proliferation of small unfit individuals in the population. Inspired by this theory, Operator Equalisation is the most recent and successful bloat control method available. In this work we revisit two bloat control methods, the old Brood Recombination and the newer Dynamic Limits, hypothesizing that together they contain the two main ingredients that make Operator Equalisation so successful. We reassemble Operator Equalisation by joining these two ingredients in a hybrid method, and test it in a hard real world regression problem. The results are surprising. Operator Equalisation and the hybrid variants exhibit completely different behaviors, and an unexpected feature of Operator Equalisation is revealed, one that may be the true responsible for its success: a nearly flat length distribution target. We support this finding with additional results, and discuss its implications.

  • Reassembling operator Equalisation: a secret revealed
    ACM SIGEVOlution, 2011
    Co-Authors: Sara Silva
    Abstract:

    The recent Crossover Bias theory has shown that bloat in Genetic Programming can be caused by the proliferation of small unfit individuals in the population. Inspired by this theory, Operator Equalisation is the most recent and successful bloat control method available. In this work we revisit two bloat control methods, the old Brood Recombination and the newer Dynamic Limits, hypothesizing that together they contain the two main ingredients that make Operator Equalisation so successful. We reassemble Operator Equalisation by joining these two ingredients in a hybrid method, and test it in a hard real world regression problem. The results are surprising. Operator Equalisation and the hybrid variants exhibit completely different behaviors, and an unexpected feature of Operator Equalisation is revealed, one that may be the true responsible for its success: a nearly flat length distribution target. We support this finding with additional results, and discuss its implications.

  • Operator Equalisation, bloat and overfitting: a study on human oral bioavailability prediction
    GECCO, 2009
    Co-Authors: Sara Silva, Leonardo Vanneschi
    Abstract:

    Operator Equalisation was recently proposed as a new bloat control technique for genetic programming. By controlling the distribution of program lengths inside the population, it can bias the search towards smaller or larger programs. In this paper we propose a new implementation of operator Equalisation and compare it to a previous version, using a hard real-world regression problem where bloat and overfitting are major issues. The results show that both implementations of operator Equalisation are completely bloat-free, producing smaller individuals than standard genetic programming, without compromising the generalization ability. We also show that the new implementation of operator Equalisation is more efficient and exhibits a more predictable and reliable behavior than the previous version. We advance some arguable ideas regarding the relationship between bloat and overfitting, and support them with our results.

M J Hart - One of the best experts on this subject based on the ideXlab platform.

Aarne Mammela - One of the best experts on this subject based on the ideXlab platform.

  • Wireless channel Equalisation
    European Transactions on Telecommunications, 1998
    Co-Authors: Desmond P. Taylor, Giorgio M. Vitetta, Brian D. Hart, Aarne Mammela
    Abstract:

    Equalisation techniques for wireless channels, in particular for those encountered in mobile wireless communications, are examined. Equalisation is broadly defined to include reception techniques which estimate the state or response of the channel and then attempt to compensate for its effects. The paper considers Equalisation techniques for fading dispersive channels which include both time and frequency selectivity. In addition, brief consideration is given to the problems of blind Equalisation, techniques for dealing with fast fading channels and to the problem of joint Equalisation and decoding. The paper does not attempt to provide in-depth analysis or performance results. Rather, the interested reader is referred to the extensive list of references.

S.a. Kassam - One of the best experts on this subject based on the ideXlab platform.

  • Dual-mode type algorithms for blind equalization
    IEEE Transactions on Communications, 1994
    Co-Authors: Vijitha Weerackody, S.a. Kassam
    Abstract:

    Adaptive channel equalization accomplished without resorting to a training sequence is known as blind equalization. The Godard algorithm and the generalized Sato algorithm are two widely referenced algorithms for blind equalization of a QAM system. These algorithms exhibit very slow convergence rates when compared to algorithms employed in conventional data-aided equalization schemes. In order to speed up the convergence process, these algorithms may be switched over to a decision-directed equalization scheme once the error level is reasonably low. The authors present a scheme which is capable of operating in two modes: blind equalization mode and a mode similar to the decision-directed equalization mode. In this proposed scheme, the dominant mode of operation changes from the blind equalization mode at higher error levels to the mode similar to the decision-directed equalization mode at lower error levels. Manual switch-over to the decision-directed mode from the blind equalization mode, or vice-versa, is not necessary since transitions between the two modes take place smoothly and automatically. >