Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
X. Fan , DSC Commun. Corp., Plano, TX, USA
N.H. Younan , DSC Commun. Corp., Plano, TX, USA
An adaptive filter bank is considered for noise cancellation with the conjugate gradient (CG) adaptive algorithm being used as the optimization tool. It uses the exponentially windowed pass instantaneous gradients and it has convergence properties superior to the LMS and a lower computational complexity than the RLS. With the appropriately designed analysis and synthesis filter banks and the decimation factor such that aliasing can be ignored, the proposed technique provides satisfactory performance with faster convergence and high computational efficiency. Therefore, it is an attractive alternative for real time noise cancellation.<
adaptive filters, adaptive signal processing, filtering theory, convergence of numerical methods, computational complexity, band-pass filters, conjugate gradient methods, noise
X. Fan, N. Younan and C. Taylor, "Noise cancellation in sub-bands using the conjugate gradient method," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 607-611.