Kniha Variable Step-Size Least Mean Fourth Adaptive Algorithm Syed Muhammad Asad

Variable Step-Size Least Mean Fourth Adaptive Algorithm

Basics, Concepts and Analysis

Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: VDM Verlag
Dostupnosť: U vydavateľa na objednávku
Odosielame za 17-27 dní
48.41
Adaptive ltering algorithms have been proposed to improve the performance in terms of their steady-s...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2010
Stránok
112
EAN
9783639249392
ISBN
3639249399
Enbook ID
06832488
Vydavateľ
Hmotnosť
177
Rozmery
152 x 229 x 7

Kompletný popis

Adaptive ltering algorithms have been proposed to improve the performance in terms of their steady-state error and convergence rate. They have also been developed to counter the e ects of measurement noise characterised as white Gaussian. The Least Mean Square (LMS) algorithm has been by far the most important in terms of its simplicity and range of applications. Thus it has been a centre point of extensive research. In particular, the time-varying step-size models of LMS have contributed immensely in the performance enhancement of LMS algorithm. By comparison the Least Mean Fourth (LMF) algorithm that gives better convergence rate in non-Gaussian noise environment has not been researched in its full spectrum. The aim of this work is to exploit the research in LMS algorithm particularly in the model of time-varying step-size parameter and extend it to the LMF. We have developed a variable step-size LMF algorithm with the aim to achieve better performance than the traditional LMF and retain its inherent dominance over the LMF in non-Gaussian noise environments.

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