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A fast parallel form IIR adaptive filter algorithm

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2 Author(s)
H. Perez ; Dept. of Electr. & Electron. Eng., Tokyo Inst. of Technol., Japan ; S. Tsujii

In real-time digital signal processing, a significant amount of computational effort can be saved if the input signals are represented in terms of a set of orthogonal signal components. This is because the representation admits processing schemes in which each of these orthogonal signal components can be independently processed. On this basis, a new infinite impulse response (IIR) adaptive filter algorithm which extends Shynk's work (1989) is proposed. In it the discrete cosine transform is used to split the input signal into a set of approximately orthogonal signal components. Subsequently, these orthogonal signal components are filtered by a bank of IIR adaptive filters whose coefficients are independently updated to minimize a common error. Computer simulations to demonstrate the performance of the proposed algorithm are presented

Published in:

IEEE Transactions on Signal Processing  (Volume:39 ,  Issue: 9 )