Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72634
Title: Fast least squares adaptive algorithm for tracking non-stationary environments in power inversion array
Authors: Ko, C.C. 
Issue Date: 2000
Source: Ko, C.C. (2000). Fast least squares adaptive algorithm for tracking non-stationary environments in power inversion array. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 5 : 3200-3203. ScholarBank@NUS Repository.
Abstract: This paper presents and investigates a fast algorithm for the tracking of non-stationary environments in power inversion arrays. The algorithm is based on the use of iterative least squares techniques and the introduction of an additional gradient vector in the objective function so that both the optimal weight vector and its rate of change are estimated recursively. Although the algorithm is computationally more complex than conventional least squares methods, it has better performance in tracking moving sources as the velocities of the latter are also being estimated.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/72634
ISSN: 07367791
Appears in Collections:Staff Publications

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