Title :
Using phase information to decorrelate the filtered-x algorithm
Author :
Sommen, Piet C W ; Garas, John
Author_Institution :
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands
Abstract :
A well known algorithm in the field of active noise control is the filtered-x algorithm. As known in the literature, the convergence properties of an adaptive algorithm can be improved by decorrelating its input signal. The decorrelation needed for the filtered-x algorithm is discussed with the help of block frequency domain adaptive filters. It is shown that decorrelation of not only the input signal but also the amplitude response of the secondary acoustic path is necessary. While the former can be done by dividing the input signal in the frequency domain by an estimate of the input signal power, the latter leads to a new method for improving convergence properties without any extra computation; by using only the phase information of the secondary path to calculate the filtered-x signal
Keywords :
acoustic signal processing; active noise control; adaptive filters; adaptive signal processing; convergence of numerical methods; correlation methods; filtering theory; frequency-domain analysis; active noise control; adaptive algorithm; amplitude response; block frequency domain adaptive filters; convergence properties; filtered-x algorithm decorrelation; filtered-x signal; input signal; input signal power; phase information; secondary acoustic path; Active noise reduction; Adaptive algorithm; Adaptive filters; Convergence; Decorrelation; Frequency domain analysis; Frequency estimation; Information filtering; Information filters; Phase estimation;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681708
