Книга Quasi-Newton Least Mean Fourth Adaptive Algorithm Umair B. Mansoor

Quasi-Newton Least Mean Fourth Adaptive Algorithm

Steady-State, Tracking and Transient Analysis

Автор: Umair B. Mansoor
Език: Английски език
Корици: С меки корици
Издател: VDM Verlag
Наличност: Налично при издателя, по поръчка
Изпращаме след 17-27 дни
50.87 99.49 лв
Adaptive filtering algorithms have been proposed to improve the performance in terms of their steady...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2010
страници
104
EAN
9783639262964
ISBN
3639262964
Enbook ID
06833635
Издател
Теглоt
163
Размери
152 x 229 x 6

Пълно описание

Adaptive filtering 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 effects of measurement noise. The conventional Least Mean Square (LMS) algorithm has been by far the most important in terms of its simplicity and range of applications. One of the Newton's method-based variants, the Recursive Least-Squares (RLS) is considered to be the fastest in convergence providing lower steady- state error. Thus it has been a centre point of extensive research. By comparison the Least-Mean Fourth (LMF) algorithm that gives better convergence rate in non-Gaussian noise environment has yet to evolve to its Newton's method-based variant. The aim of this work is to develop a Newton's method-based variant of the LMF algorithm. A Quasi-Newton Least- Mean Fourth (QNLMF) adaptive algorithm have been developed and analyzed. It is also compared with the RLS algorithm.

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