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Paper Information

Journal:   SCIENTIA IRANICA   MARCH- APRIL 2008 , Volume 15 , Number 2; Page(s) 195 To 202.
 
Paper: 

VARIABLE, STEP-SIZE, BLOCK NORMALIZED, LEAST MEAN, SQUARE ADAPTIVE FILTER: A UNIFIED FRAMEWORK

 
 
Author(s):  SHAMS ESFANDABADI M., MOUSAVI S.Z.*, MAHLOUJIFAR A.
 
* DEPARTMENT OF ELECTRICAL ENGINEERING, SHAHID RAJAEE TEACHER TRAINING UNIVERSITY, TEHRAN, I.R. IRAN
 
Abstract: 

Employing a recently introduced framework, within which a large number of classical and modern adaptive filter algorithms can be viewed as special cases, a generic, variable step-size adaptive filter has been presented. Variable Step-Size (VSS) Normalized Least Mean Square (VSSNLMS) and VSS Affine Projection Algorithms (VSSAPA) are particular examples of adaptive algorithms covered by this generic variable step-size adaptive filter. In this paper, the new VSS Block Normalized Least Mean Square (VSSBNLMS) adaptive filter algorithm is introduced, based on the generic VSS adaptive filter. The proposed algorithm shows the higher convergence rate and lower steady-state mean square error compared to the ordinary BNLMS algorithm.

 
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+ Click to Cite.
APA: Copy

SHAMS ESFANDABADI, M., & MOUSAVI, S., & MAHLOUJIFAR, A. (2008). VARIABLE, STEP-SIZE, BLOCK NORMALIZED, LEAST MEAN, SQUARE ADAPTIVE FILTER: A UNIFIED FRAMEWORK. SCIENTIA IRANICA, 15(2), 195-202. https://www.sid.ir/en/journal/ViewPaper.aspx?id=106510



Vancouver: Copy

SHAMS ESFANDABADI M., MOUSAVI S.Z., MAHLOUJIFAR A.. VARIABLE, STEP-SIZE, BLOCK NORMALIZED, LEAST MEAN, SQUARE ADAPTIVE FILTER: A UNIFIED FRAMEWORK. SCIENTIA IRANICA. 2008 [cited 2021July27];15(2):195-202. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=106510



IEEE: Copy

SHAMS ESFANDABADI, M., MOUSAVI, S., MAHLOUJIFAR, A., 2008. VARIABLE, STEP-SIZE, BLOCK NORMALIZED, LEAST MEAN, SQUARE ADAPTIVE FILTER: A UNIFIED FRAMEWORK. SCIENTIA IRANICA, [online] 15(2), pp.195-202. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=106510.



 
 
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