Variable Step-Size Least Mean Fourth Adaptive Algorithm

Name: Variable Step-Size Least Mean Fourth Adaptive Algorithm
Brand: VDM Verlag
SKU: 9783639249392
Price: 17206 HUF
Availability: InStock

Basics, Concepts and Analysis

Szerző: Syed Muhammad Asad

Nyelv:

Kötés: Puha kötésű

Kiadó: VDM Verlag

Elérhetőség: Kiadói készleten rendelésre

Küldés 17-27 napon belül

17 206 Ft

Adaptive ltering algorithms have been proposed to improve the performance in terms of their steady-s...

Információk a könyvről

Szerző

Syed Muhammad Asad

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

112

EAN

9783639249392

ISBN

3639249399

Enbook ID

06832488

Kiadó

VDM Verlag

Súly

177

Méretek

152 x 229 x 7

Teljes leírás

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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Variable Step-Size Least Mean Fourth Adaptive Algorithm

Basics, Concepts and Analysis

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták