Rajgopal, K and Babu, Dinesh J (2003) A delayless IFIR adaptive filter structure with adapted filterbank. In: Conference on Convergent Technologies for the Asia-Pacific Region: IEEE TENCON 2003, 15-17 October, 2003, Bangalore, India, Vol.3 1051-1054.
In many applications such as acoustic echo cancellation aid wideband active noise control, the Least Mean Square (LMS) based adaptive filters with hundreds of taps are used, resulting in lower convergence and high computational complexity. In recent years researchers have developed adaptive filters based on subband techniques to improve the convergence rate and reduce the computational complexity. One such approach is IFIR structure based adaptive filters also called Filter Rank Adaptive Filters (FBAF). Though the technique improves the convergence rate, it introduces a delay in the signal path. FBAFs usually use fixed paraunitary Perfect Reconstruction (PR) filterbanks for pre-processing the data. An arbitrary FIR transfer function can be modelled by a delayless IFIR structure with no conditions on the interpolating filter coefficients. The interpolators can be designed using optimization techniques with knowledge of input signal statistics to improve the convergence rate. In this paper, we propose an algorithm to adapt the interpolators themselves and the model filters simultaneously to reduce the mean square error and hence require no offline optimization procedure to design the interpolators.
|Item Type:||Conference Paper|
|Additional Information:||©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||12 Jul 2004|
|Last Modified:||19 Sep 2010 04:13|
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