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  • MCWC
  • GC-MCWC 2011
  • 12.Cnf-68
Papers Published at GC-MCWC 2011
All 12 Papers
IDAuthors and TitlePages
12.Cnf-20 Dr. Amer M. Al Canaan
Prof. Ahmed Khoumsi
The impact of binary data compression on QoS and performance of SOAP and RESTful multimedia web services
1-8
12.Cnf-68 Prof. Thamer M. Jamel
Mr. Haider Mohamed
Absolute Average Error Based Adjusted Step Size LMS Algorithm for Adaptive Noise Canceller
9-14
12.Cnf-88 Dr. Ammar Abu-Hudrouss
(7,4) Hamming like code for QPSK modulation
15-17
12.Cnf-89 Mr. Ousama Alnatouh
Mr. Gaojie Chen
Prof. Jonathon Chambers
Comparison of Quasi-Orthogonal and Jacket Space-Time Coding Schemes for Point-to-Point and Distributed Transmissions
18-21
12.Cnf-94 Ms. Nouri Naziha
Prof. Bouallegue Ridha
Direct-conversion receiver performances for WiMAX radio systems
22-25
12.Cnf-97 Ms. Maha Abousharkh
Prof. Hussein Mouftah
Sensors based SOA enabled middleware for patient monitoring system
26-29
12.Cnf-99 Dr. Muneer Bani Yassein
Mr. Mohamed A. Al Omari
Pessimistic Fibonacci back-off algorithm
30-35
12.Cnf-103 Mr. Osman Turkkan
Prof. Ali Kara
Dr. Yaser Dalveren
Design of a low cost wireless transmission module
36-39
12.Cnf-108 Dr. Tayfun Nesimoglu
A Linear Transmitter Architecture Using Class-E Switching Power Amplifiers
40-42
12.Cnf-109 Dr. Rosilah Hassan
Mr. Hazim Jarrah
Comparison Approach System-Level Fault Diagnosis in MANET Using Non-Overlapping Clustering Technique
43-48
12.Cnf-111

GS Citations

Ms. Aisha Aseeri
Dr. Omaima Bamasak
HB-MP*: towards a man-in-the-middle-resistant protocol of HB family
49-53
12.Cnf-114 Dr. Amer M. Al Canaan
Prof. Ahmed Khoumsi
Performance Enhancement of Image-Retrieval Web Services Through Image Dimensional Optimisation
54-59
12.Cnf-68 Paper View Page
Title Absolute Average Error Based Adjusted Step Size LMS Algorithm for Adaptive Noise Canceller
Authors Prof. Thamer M. Jamel, University of Technology, Baghdad, Iraq
Mr. Haider Mohamed, University of Technology, Baghdad, Iraq
Abstract In this paper, an Absolute Average Error-based Adjusted Step Size LMS (AAE-ASSLMS) algorithm is proposed, which overcome and avoid one of the drawbacks of the standard LMS algorithm. This drawback is convergence speed – misadjustment trade off problem. In this proposed algorithm an appropriate time varying value of the step size is calculated based on gradually decreasing maximum step size to the minimum value. This time varying step size is based on the absolute average value of the current and the previous estimation errors. The transition from larger step size into smaller one is taking place smoothly, as will be seen from the results. The proposed algorithm shows through a computer simulation result fast convergence time and low level of misadjustment compared with tradtional LMS and another Variable Step Size LMS algorithm (VSSLMS) for adaptive noise cancellation system. The proposed algorithm shows through the computer simulation results higher attenuation performance and good estimation weight coefficients.
Track WCS: Wireless Communication Systems
Conference 2nd Mosharaka International Conference on Mobile Computing and Wireless Communications (MIC-MCWC 2011)
Congress 2011 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2011), 3-5 June 2011, Istanbul, Turkey
Pages 9-14
Topics Adaptive Signal Processing
Digital Signal Processing
ISSN 2227-331X
DOI
BibTeX @inproceedings{68MCWC2011,
title={Absolute Average Error Based Adjusted Step Size LMS Algorithm for Adaptive Noise Canceller},
author={Thamer M. Jamel, and Haider Mohamed},
booktitle={2011 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2011)},
year={2011},
pages={9-14},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 41 Paper Views Rank 184/524
Paper Downloads 19 Paper Downloads Rank 164/524
GC-MCWC 2011 Visits: 16586||MIC-MCWC 2011 Visits: 13782||WCS Track Visits: 5389