Title :
Adaptive IIR filtering using cascade structures
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
This paper studies the use of cascade form filter structures for implementing adaptive IIR filters. An efficient scheme for the computation of the gradient is developed. This greatly simplifies the complexity of the adaptive algorithms for cascade implementation of adaptive IIR filters. Issues related to the convergence of the adaptive cascade filter, and computational complexity reduction via alternate mixed form implementations are explored. The application of the cascade IIR adaptive filter for enhancing narrowband/sinusoidal signals in noise is also considered. Simulation results are presented to support the observations
Keywords :
IIR filters; adaptive filters; cascade networks; computational complexity; convergence of numerical methods; filtering theory; adaptive IIR filtering; adaptive algorithms; cascade IIR adaptive filter; cascade structures; computational complexity reduction; convergence; gradient; mixed form implementations; narrowband signals; noise; simulations; sinusoidal signals; Adaptive algorithm; Adaptive filters; Computational complexity; Computational modeling; Convergence; Filtering; Finite impulse response filter; IIR filters; Narrowband; Signal processing algorithms; Stability;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342498
