Complex-valued tapers

被引:3
|
作者
Politis, DN [1 ]
机构
[1] Univ Calif San Diego, Dept Math, La Jolla, CA 92093 USA
基金
美国国家科学基金会;
关键词
bandwidth choice; Bartlett estimator; flat-top lag windows; multitapering; power spectrum;
D O I
10.1109/LSP.2005.849492
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
The spectral estimation method based on the average of short, tapered periodograms is re-examined. The bias of such estimators is typically O(1/b(2)), where b is the length of the short blocks. Much of the current research on multitapering has been focusing on reducing the proportionality constant implicit in the term O(1/b(2)). In this letter, we show how-with the use of complex-valued tapers-the bias of the spectral estimator can be reduced by orders of magnitude becoming O(1/b(P)) for (possibly) high p. Expressions for the estimators' variance and MSE are presented with an aim toward optimal estimation. An automatic method of optimally choosing the block size b is given. Finally, the usage of multiple complex tapers is proposed in an effort to reduce sidelobe size and improve finite-sample performance.
引用
收藏
页码:512 / 515
页数:4
相关论文
共 50 条
  • [21] METHOD FOR PERFORMING COMPLEX-VALUED LINEAR OPERATIONS ON COMPLEX-VALUED DATA USING INCOHERENT-LIGHT
    GOODMAN, JW
    WOODY, LM
    APPLIED OPTICS, 1977, 16 (10): : 2611 - 2612
  • [22] Complex-valued soft-log threshold reweighting for sparsity of complex-valued convolutional neural networks
    Jiang, Jingwei
    Huang, He
    NEURAL NETWORKS, 2024, 180
  • [23] A Fully Complex-Valued Gradient Neural Network for Rapidly Computing Complex-Valued Linear Matrix Equations
    Xiao Lin
    Lu Rongbo
    CHINESE JOURNAL OF ELECTRONICS, 2017, 26 (06) : 1194 - 1197
  • [24] A Fully Complex-Valued Gradient Neural Network for Rapidly Computing Complex-Valued Linear Matrix Equations
    XIAO Lin
    LU Rongbo
    ChineseJournalofElectronics, 2017, 26 (06) : 1194 - 1197
  • [25] FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss Function
    Yadav, Saurabh
    Jerripothula, Koteswar Rao
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), 2023, : 10655 - 10664
  • [26] Complex-valued Zhang neural network for online complex-valued time-varying matrix inversion
    Zhang, Yunong
    Li, Zhan
    Li, Kene
    APPLIED MATHEMATICS AND COMPUTATION, 2011, 217 (24) : 10066 - 10073
  • [27] On the range of one complex-valued functional
    Pchelintsev, V. A.
    Pchelintsev, E. A.
    SIBERIAN MATHEMATICAL JOURNAL, 2015, 56 (05) : 922 - 928
  • [28] Estimation of the modulus of a complex-valued quantity
    Oberto, L.
    Pennecchi, F.
    METROLOGIA, 2006, 43 (06) : 531 - 538
  • [29] Compressed sensing of complex-valued data
    Yu, Siwei
    Khwaja, A. Shaharyar
    Ma, Jianwei
    SIGNAL PROCESSING, 2012, 92 (02) : 357 - 362
  • [30] A New Complex-Valued Polynomial Model
    Yang, Bin
    Chen, Yuehui
    NEURAL PROCESSING LETTERS, 2019, 50 (03) : 2609 - 2626