Performance enhancement of echo cancellation using a combination of partial update (PU) methods and new variable length LMS (NVLLMS) algorithm
Other Title(s)
تحسين أداء منظومة إلغاء الصدى باستخدام مجموعة من الخوارزميات المدمجة بين خوارزميات التعديل الجزئي مع خوارزمية اقل معدل للتربيع متغيرة الطول
Joint Authors
Jamil, Thamir Muhammad
Hammud, Faiz Fawwaz
Source
Issue
Vol. 24, Issue 5 (31 May. 2018), pp.66-85, 20 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2018-05-31
Country of Publication
Iraq
No. of Pages
20
Main Subjects
Telecommunications Engineering
Abstract EN
In this paper, several combination algorithms between Partial Update LMS (PU LMS) methods and previously proposed algorithm (New Variable Length LMS (NVLLMS)) have been developed.
Then, the new sets of proposed algorithms were applied to an Acoustic Echo Cancellation system (AEC) in order to decrease the filter coefficients, decrease the convergence time, and enhance its performance in terms of Mean Square Error (MSE) and Echo Return Loss Enhancement (ERLE).
These proposed algorithms will use the Echo Return Loss Enhancement (ERLE) to control the operation of filter's coefficient length variation.
In addition, the time-varying step size is used.The total number of coefficients required was reduced by about 18% , 10% , 6%, and 16% using Periodic, Sequential, Stochastic, and M-max PU NVLLMS algorithms respectively, compared to that used by a full update method which is very important, especially in the application of mobile communication since the power consumption must be considered.
In addition, the average ERLE and average Mean Square Error (MSE) for M-max PU NVLLMS are better than other proposed algorithms.
American Psychological Association (APA)
Jamil, Thamir Muhammad& Hammud, Faiz Fawwaz. 2018. Performance enhancement of echo cancellation using a combination of partial update (PU) methods and new variable length LMS (NVLLMS) algorithm. Journal of Engineering،Vol. 24, no. 5, pp.66-85.
https://search.emarefa.net/detail/BIM-831411
Modern Language Association (MLA)
Jamil, Thamir Muhammad& Hammud, Faiz Fawwaz. Performance enhancement of echo cancellation using a combination of partial update (PU) methods and new variable length LMS (NVLLMS) algorithm. Journal of Engineering Vol. 24, no. 5 (May. 2018), pp.66-85.
https://search.emarefa.net/detail/BIM-831411
American Medical Association (AMA)
Jamil, Thamir Muhammad& Hammud, Faiz Fawwaz. Performance enhancement of echo cancellation using a combination of partial update (PU) methods and new variable length LMS (NVLLMS) algorithm. Journal of Engineering. 2018. Vol. 24, no. 5, pp.66-85.
https://search.emarefa.net/detail/BIM-831411
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 74-85
Record ID
BIM-831411