Analysis of the adaptive filter algorithm for feedback-type active noise control

被引：0
|
作者：
Sakai, H [1 ]
Miyagi, S [1 ]
机构：
[1] Kyoto Univ, Grad Sch Informat, Dept Syst Sci, Sakyo Ku, Kyoto 6068501, Japan
来源：
2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING | 2001年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
The feedback-type active noise control (ANC) system uses only one microphone to provide necessary signals for adjusting the adaptive filter. Due to the complicated nature of the whole adaptive filter structure there have been no theoretical results about its convergence properties. In this paper, first a stationary point of the adaptive filter using the filtered-X LMS algorithm is obtained by the averaging method combined with the frequency domain technique. Then the local convergence condition is derived. This is a counterpart of the well-known 90degrees condition for the feedforward-type ANC. Finally, the convergence condition is explicitly given for a simple example and its validity is shown by some simulations.
引用
收藏
页码：3841 / 3844
页数：4
相关论文
共 50 条
  • [11] Stability analysis of an active noise control system using single adaptive filter with an external injection noise and an acceleration method of adaptive algorithm
    Kobayashi M.
    IEEJ Transactions on Electronics, Information and Systems, 2019, 139 (07): : 828 - 834
  • [12] Adaptive RSOV filter using the FELMS algorithm for nonlinear active noise control systems
    Zhao, Haiquan
    Zeng, Xiangping
    He, Zhengyou
    Li, Tianrui
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2013, 34 (1-2) : 378 - 392
  • [13] Subband active noise control algorithm based on a delayless subband adaptive filter architecture
    Yun, JH
    Park, YC
    Youn, DH
    1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 391 - 394
  • [14] Active noise control system based on LMS adaptive filter algorithm for transformer power noise reduction
    Zhao T.
    Liang J.
    Xia T.
    Zou L.
    Zhang L.
    Gaodianya Jishu, 7 (2299-2307): : 2299 - 2307
  • [15] Active noise control with online feedback-path modeling using adaptive notch filter
    Bai, Tao
    Xiao, Yegui
    Ma, Yaping
    Ding, Jianming
    Lin, Jianhui
    2018 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2018, : 309 - 313
  • [16] On Adaptive Feedback Active Noise Control Systems With Online Adaptation of Secondary Path Estimation Filter
    Akhtar, Muhammad Tahir
    2024 IEEE 67TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, MWSCAS 2024, 2024, : 698 - 702
  • [17] Adaptive algorithm for active control of impulsive noise
    Sun, X
    Kuo, SM
    Meng, GA
    JOURNAL OF SOUND AND VIBRATION, 2006, 291 (1-2) : 516 - 522
  • [18] Adaptive Feedback Active Noise Control for Yacht Environments
    Peretti, Paolo
    Cecchi, Stefania
    Romoli, Laura
    Piazza, Francesco
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2014, 22 (02) : 737 - 744
  • [19] A simplified adaptive feedback active noise control system
    Wu, Lifu
    Qiu, Xiaojun
    Guo, Yecai
    APPLIED ACOUSTICS, 2014, 81 : 40 - 46
  • [20] Applications of adaptive feedback active noise control system
    Kuo, SM
    Kong, X
    Gan, WS
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2003, 11 (02) : 216 - 220
12345