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| Fast System Identification Using Direct Matrix Inversion and a Critically Sampled Subband Adaptive Filter |
| Bao Cheng-hao; Shui Peng-lang |
| National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China |
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Abstract In many applications subband adaptive filter structures have been shown to be superior computationally and performancewise. This paper presents a subband Direct Matrix Inversion (DMI) algorithm suitable for use within a recently proposed adaptive filter structure employing critically sampled filter banks. This new method reduces the computational complexity by using the block tridiagonal structure of the input sample correlation matrix, and at the same time keeps the advantage of fast convergence. Experimental results show that the output residue power of the subband DMI algorithm is around 3dB upon the optimum value after only 2K updating of the adaptive subfilters, where K is the dimension of the adaptive subfilters.
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Received: 13 June 2006
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2008, Vol. 30 
