Stochastic Modeling of the Transform-Domain $\varepsilon {\rm LMS}$ Algorithm

2008 ◽  
Vol 56 (5) ◽  
pp. 1840-1852 ◽  
Author(s):  
Elen Macedo Lobato ◽  
Orlando JosÉ Tobias ◽  
Rui Seara
1983 ◽  
Vol 31 (3) ◽  
pp. 609-615 ◽  
Author(s):  
S. Narayan ◽  
A. Peterson ◽  
M. Narasimha

2019 ◽  
Vol 36 (3) ◽  
pp. 245-252
Author(s):  
Laid Chergui ◽  
Saad Bouguezel

2013 ◽  
Vol 385-386 ◽  
pp. 1407-1410 ◽  
Author(s):  
Yan Hong Zhang ◽  
Heng Zhao ◽  
Hui Hui Li

In allusion to the non-stationary wideband signals, a LMS adaptive filtering algorithm based on linear canonical transform is proposed. In this method, the signal is first transformed to linear canonical transform domain. By using linear canonical transform and selecting appropriate transformation parameters, characteristics of the transformed signal appear to be stationary narrow-band in the corresponding linear canonical transform domain, and then, the transformed signal is filtered adaptively with LMS algorithm in this domain. Theoretical analysis and simulation results show that the algorithm is not only to solve the problem of extracting and filtering of nonstationary signal, and can obtain better filtering performance.


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