Please use this identifier to cite or link to this item:
|Title:||Application of orthonormal transforms to implementation of quasi-LMS/Newton algorithm|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 5, 2017
WEB OF SCIENCETM
checked on Nov 16, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.