Paper Details

@InProceedings{SoraghamGan92,
  title = "{T}ransputer based adaptive signal processing",
  author= "Soragham, John J. and Gan, Woon S. and Goh, Kwong H. and Stewart, Robert W. and Durrani, Tariq S.",
  editor= "Allen, Alastair R.",
  pages = "77--96",
  booktitle= "{P}roceedings of {W}o{TUG}-15: {T}ransputer {S}ystems - ongoing {R}esearch",
  isbn= "90 5199 085 5",
  year= "1992",
  month= "mar",
  abstract= "Transputer based adaptive signal processing systems are
     considered. Efficient use of data communication networks
     requires adaptive equaliser structures that are efficient
     and have fast mean square error (MSE) convergence rates. The
     transputer based non-canonical least mean square (NCLMS)
     algorithm is implemented using a variant of the standard
     finite impulse response (FIR) filter,called the
     non-canonical FIR (NCFIR). Simulation results are given
     which show areduced excess mean square error level and an
     improved performance in an impulsive noise environment for
     the NCLMS over the conventional least mean square (LMS)
     algorithm. Simulation results comparing the LMS and NCLMS
     are presented.The equaliser structure based on the Kalman
     Filter has convergence rates that are independent of the
     channel's characteristics. A transputer based Kalman
     Equaliser and fast Kalman Equaliser are described. Speed-up
     curves for a variety of topologies for both systems are
     included."
}

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