Title :
An adaptive technique for determining a reduced model for a system
Author :
Etter, D.M. ; Jiang, Jean
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
fDate :
1/1/1991 12:00:00 AM
Abstract :
A reduced or sparse system model is discussed that will contain only the most significant components, as opposed to a complete finite impulse response (FIR) model which may not be very accurate with the requirement of only a few components. The technique presented uses an adaptive delay filter to provide the sparse model and compares it to the model obtained with the standard adaptive filter
Keywords :
adaptive filters; filtering and prediction theory; adaptive delay filter; adaptive technique; impulse response; reduced model; sparse system model; Acoustic signal detection; Adaptive filters; Delay; Filtering; Finite impulse response filter; Nonlinear filters; Signal processing; Speech processing; Statistics; Tail;
Journal_Title :
Signal Processing, IEEE Transactions on
