Efficient adaptive algorithm technique for acoustic echo cancellation

被引:0
|
作者
Mastan Sharif S. [1 ]
Satya Prasad K. [2 ]
Venkata Rao D. [3 ]
机构
[1] Dept of Electronics and Instrumentation, LBRCE, Andhra Pradesh
[2] Dept of Electronics and Communication, JNTUK, Andhra Pradesh
[3] Dept of Electronics and Communication, Narasaraopet Institute of Technology
来源
| 2016年 / Science and Engineering Research Support Society卷 / 11期
关键词
ADFE; Echo cancellation; Figure of merits; Signed-Regressor LMS;
D O I
10.14257/ijmue.2016.11.9.37
中图分类号
学科分类号
摘要
The adaptive decision feedback equalizer (ADFE), which makes use of the regenerative effect of the non-linear decision device is an effective means for equalizing the channels that exhibit spectral nulls. A common problem faced by the ADFE is that with increasing data transmission rate, the channel IR length increases and thus the orders of both the FFF and the FBF increase. The resulting increase in complexity makes the real time operation of the ADFE difficult, especially in view of simultaneous shortening of the symbol period, which means that lesser and lesser time will be available to carry out the computations while the volume of computation goes on increasing. Since it has been reported that substantial echo cancellation leads to increased system quality and capacity, this paper proposes different sign LMS based ADFEs to cancel the echo signal. The Signed-Regressor LMS gives better performance in terms of their figure of merits compared to the normal LMS and other signed based ADFEs. © 2016 SERSC.
引用
收藏
页码:375 / 384
页数:9
相关论文
共 50 条
  • [31] Gradient Based Adaptive Filter Algorithm for Single Channel Acoustic Echo Cancellation in Noise
    Mahbub, Upal
    Fattah, Shaikh Anowarul
    2012 7TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (ICECE), 2012,
  • [32] Adaptive parallel variable-metric projection algorithm - An application to acoustic echo cancellation
    Yukawa, Masahiro
    Yamada, Isao
    2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS, 2007, : 1353 - +
  • [33] A Switching Variable Step Size Affine Projection Adaptive Algorithm For Acoustic Echo Cancellation
    Joy, Jinju
    Mathurakani, M.
    2013 ANNUAL INTERNATIONAL CONFERENCE ON EMERGING RESEARCH AREAS & 2013 INTERNATIONAL CONFERENCE ON MICROELECTRONICS, COMMUNICATIONS & RENEWABLE ENERGY (AICERA/ICMICR), 2013,
  • [34] Acoustic Echo Cancellation Using a Vector-Space-Based Adaptive Filtering Algorithm
    Tsao, Yu
    Fang, Shih-Hau
    Shiao, Yao
    IEEE SIGNAL PROCESSING LETTERS, 2015, 22 (03) : 351 - 355
  • [35] PARTITIONED BLOCK FREQUENCY DOMAIN ADAPTIVE FILTERING ALGORITHM FOR NONLINEAR ACOUSTIC ECHO CANCELLATION
    Lee, Keunsang
    Ji, Youna
    Park, Youngcheol
    JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA, 2015, 34 (03): : 177 - 183
  • [36] Normalized Subband Adaptive Filter Algorithm with Combined Step Size for Acoustic Echo Cancellation
    Shen, Zijie
    Yu, Yi
    Huang, Tianmin
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2017, 36 (07) : 2991 - 3003
  • [37] Adaptive acoustic echo cancellation in the presence of multiple nonilinearities
    Shi, Kun
    Ma, Xiaoli
    Zhou, G. Tong
    2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, 2008, : 3601 - 3604
  • [38] Adaptive filter length selection for acoustic echo cancellation
    Schueldt, Christian
    Lindstrom, Fredric
    Li, Haibo
    Claesson, Ingvar
    SIGNAL PROCESSING, 2009, 89 (06) : 1185 - 1194
  • [39] A novel adaptive acoustic echo cancellation for teleconference systerms
    Hu, X
    Ru, AQ
    Luo, Q
    Cai, TY
    2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 1005 - 1009
  • [40] Nonlinear Acoustic Echo Cancellation Using Adaptive Filters
    Sunitha, T.
    Malar, Suja Mani R.
    2014 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICCICCT), 2014, : 1400 - 1405