Title :
Adaptive modelling of sparse systems
Author :
Chia, Bock-Sim ; Etter, Delores
Author_Institution :
Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Abstract :
An algorithm for modeling sparse impulse systems is proposed. The method works well for both sparse and nonsparse systems. However, it offers significant savings in computational costs when the system is nonsparse. The approach used in this method is to determine all the delay positions of the unknown system simultaneously and then use an LMS (least-mean-square) algorithm to adapt the gains at delays with significant impulse response, in parallel. This method is the parallel implementation of Y.F. Chen and D.M. Etter (1989), and hence will work faster than serial implementation
Keywords :
adaptive filters; digital filters; filtering and prediction theory; least squares approximations; modelling; parallel algorithms; FIR systems; LMS algorithm; adaptive modelling; algorithm; delay positions; impulse response; least mean square algorithm; nonsparse systems; parallel implementation; sparse impulse systems; Adaptive systems; Computational efficiency; Delay; Delay estimation; Filters; Least squares approximation; Modeling; Partitioning algorithms; Sampling methods; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116085
