Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.205741
Title: Application of orthonormal transforms to implementation of quasi-LMS/Newton algorithm
Authors: Farhang-Boroujeny, B. 
Issue Date: Mar-1993
Source: Farhang-Boroujeny, B. (1993-03). Application of orthonormal transforms to implementation of quasi-LMS/Newton algorithm. IEEE Transactions on Signal Processing 41 (3) : 1400-1405. ScholarBank@NUS Repository. https://doi.org/10.1109/78.205741
Abstract: An efficient implementation of the LMS/Newton (LMSN) algorithm is proposed. The resulting scheme is quasi in the sense that a quasi-inverse of the correlation matrix of input is used, instead of its exact inverse. The proposed algorithm, which is an alternative formulation of a class of the existing transform domain adaptive filters (TDAF's), has some advantages over the TDAF. An eminent feature of the proposed scheme that greatly simplifies its implementation is the possibility of coarse quantization of the stochastic gradient terms in the adjustment recursion. To back this up, an analysis of the LMSN algorithm, which includes the effect of coarse quantization of the stochastic gradient terms, is given for correlated Gaussian data. Computer simulations that support the developed theories are also presented.
Source Title: IEEE Transactions on Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/61853
ISSN: 1053587X
DOI: 10.1109/78.205741
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