%T Transputer based adaptive signal processing
%A  John J. Soragham,  Woon S. Gan,  Kwong H. Goh,  Robert W. Stewart,  Tariq S. Durrani
%E  Alastair R. Allen
%B Proceedings of WoTUG\-15: Transputer Systems \- ongoing Research
%X 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\[rs]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.