Title :
A novel adaptive IIR filter for active noise control
Author :
Crawford, D.H. ; Stewart, R.W. ; Toma, E.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
Abstract :
This paper introduces a novel adaptive IIR filter structure and its corresponding LMS weight update equations. This “full-feedback” structure has performance advantages over the conventional adaptive IIR filter structure in certain situations. A full-feedback filtered-u adaptive IIR algorithm is also presented, which may be applied to active noise control in ducts
Keywords :
acoustic noise; active noise control; adaptive filters; adaptive signal processing; circuit feedback; least mean squares methods; LMS weight update equations; active noise control; adaptive IIR filter; ducts; full-feedback filtered-u adaptive IIR algorithm; full-feedback structure; Active noise reduction; Adaptive control; Adaptive filters; Cost function; Feedforward systems; Finite impulse response filter; IIR filters; Least squares approximation; Programmable control; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.544116
