FIR SYSTEM-IDENTIFICATION USING HIGHER-ORDER STATISTICS ALONE

被引:28
|
作者
ZHANG, XD [1 ]
ZHANG, YS [1 ]
机构
[1] UNIV SCI & TECHNOL CHINA,HEFEI 230026,PEOPLES R CHINA
基金
中国国家自然科学基金;
关键词
D O I
10.1109/78.324754
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper focuses on FIR system identification in Gaussian ARMA noise using higher order cumulants alone. Two new types of cumulant-based normal equations are established, and two algorithms are proposed for MA parameter estimation. Simulations verify the high performance of the new developments.
引用
收藏
页码:2854 / 2858
页数:5
相关论文
共 50 条
  • [41] Musical genre classification using higher-order statistics
    Avcu, Neslihan
    Kuntalp, Damla Guerkan
    Alpkocak, Adil
    [J]. 2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3, 2007, : 826 - +
  • [42] Separation of convolutive mixtures using higher-order statistics
    Chen, BN
    Petropulu, AP
    [J]. WCNC: 2000 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-3, 2000, : 1178 - 1181
  • [43] Discrimination of heart sounds using higher-order statistics
    Hadjileontiadis, LJ
    Panas, SM
    [J]. PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING, 1997, 19 : 1138 - 1141
  • [44] New approaches to finite impulse response systems identification using higher-order statistics
    Abderrahim, K.
    Mathlouthi, H.
    Msahli, F.
    [J]. IET SIGNAL PROCESSING, 2010, 4 (05) : 488 - 501
  • [45] Reduction of multiplicative noise using higher-order statistics
    Kozaitis, SP
    Ingun, A
    Cofer, RH
    [J]. ALGORITHM FOR SYNTHETIC APERTURE RADAR IMAGERY X, 2003, 5095 : 119 - 125
  • [47] OBJECT AND TEXTURE CLASSIFICATION USING HIGHER-ORDER STATISTICS
    TSATSANIS, MK
    GIANNAKIS, GB
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (07) : 733 - 750
  • [48] Sampling jitter detection using higher-order statistics
    Tourneret, JY
    Ferrari, A
    Lacaze, B
    [J]. PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS, 1997, : 448 - 452
  • [49] Improved denoising approach using higher-order statistics
    Kozaitis, Samuel P.
    [J]. INDEPENDENT COMPONENT ANALYSES, WAVELETS, UNSUPERVISED NANO-BIOMIMETIC SENSORS, AND NEURAL NETWORKS V, 2007, 6576
  • [50] ARRAY PROCESSOR FOR LS FIR SYSTEM-IDENTIFICATION
    NIKOLAIDIS, SS
    KOUFOPAVLOU, OG
    THEODORIDIS, S
    GOUTIS, CE
    [J]. MICROPROCESSING AND MICROPROGRAMMING, 1991, 32 (1-5): : 557 - 563