Volume 16, Issue 4 (2017)                   MJEE 2017, 16(4): 63-70 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Shahdoosti H R. A New Noise-Assistant LMS Algorithm for Preventing the Stalling Effect. MJEE 2017; 16 (4) :63-70
URL: http://mjee.modares.ac.ir/article-17-38852-en.html
Abstract:   (5226 Views)
In this paper, we introduce a new algorithm to deal with the stalling effect in the LMS algorithm used in adaptive filters. We modify the update rule of the tap weight vectors by adding noise, generated by a noise generator. The properties of the proposed method are investigated by two novel theorems. As it is shown, the resulting algorithm, called Added Noise LMS (AN-LMS), improves the resistance capability of the conventional LMS algorithm against the stalling effect. The probability of update with additive white Gaussian noise is calculated in the paper. Convergence of the proposed method is investigated and it is proved that the rate of convergence of the introduced method is equal to that of LMS algorithm in the expected value sense, provided that the distribution of the added noise is uniform. Finally, it is shown that the order of complexity of the proposed algorithm is linear as the conventional LMS algorithm.
Full-Text [PDF 308 kb]   (1533 Downloads)    
Article Type: مقالات علمی پژوهشی | Subject: Electrical and Electronic Engineering
Received: 2017/08/29 | Accepted: 2018/05/29 | Published: 2019/12/9

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.