Title :
Delayless subband adaptive filtering using the Hadamard transform
Author :
Hirayama, Noriyuki ; Sakai, Hideaki ; Miyagi, Shigeyuki
Author_Institution :
Dept. of Appl. Math. & Phys., Kyoto Univ., Japan
fDate :
6/1/1999 12:00:00 AM
Abstract :
In this correspondence, an analysis of a delayless critically decimated subband adaptive filter structure is presented. In this structure, adaptive weights in each subband are computed by the LMS algorithm and then transformed into those in fullband by the Hadamard transform. It is shown that a stationary point of the proposed algorithm corresponds to the fullband Wiener filter. Some numerical results are also presented to show the performance of this scheme
Keywords :
Hadamard transforms; Wiener filters; adaptive filters; least mean squares methods; Hadamard transform; LMS algorithm; adaptive weights; critically decimated subband adaptive filter structure; delayless subband adaptive filtering; fullband Wiener filter; numerical results; performance; stationary point; Acoustic noise; Active noise reduction; Adaptive filters; Convergence; Delay; Filter bank; Frequency; Least squares approximation; Transfer functions; Wiener filter;
Journal_Title :
Signal Processing, IEEE Transactions on
