ONLINE INSTANTANEOUS FREQUENCY ESTIMATION UTILIZING EMPIRICAL MODE DECOMPOSITION AND HERMITE SPLINES

被引:0
|
作者
Holzinger, Franz R. [1 ]
Benedikt, Martin [1 ]
机构
[1] VIRTUAL VEHICLE Res Ctr, Area E Elect Elect & Software, Inffeldgasse 21-A, A-8010 Graz, Austria
关键词
EMD; online; spline interpolation; boundary condition;
D O I
暂无
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
Most of the available frequency estimation methods are restricted for the application to signals without a bias or a carrier signal. For offline analysis of a signal an existing carrier may be determined and eliminated. However, in the case of online computations the carrier is not accurately known a priori in general. An error in the carrier signal directly affects the accuracy of the subsequent instantaneous frequency estimation approach. This article focusses on the online instantaneous frequency estimation of non-stationary signals based on the empirical mode decomposition scheme. Especially Hermite spline interpolation of samples for empirical mode decomposition is addressed. Hermite splines enables the definition of enhanced boundary conditions and leads to an effective online instantaneous frequency estimation approach. Throughout the article algorithmic details are examined by a theoretical example.
引用
收藏
页码:446 / 450
页数:5
相关论文
共 50 条
  • [1] Instantaneous Frequency Estimation Based on Empirical Mode Decomposition
    Hu, Hongying
    Kang, Jing
    Guan, Lina
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 3049 - +
  • [2] Estimation of Instantaneous Frequency from Empirical Mode Decomposition on Respiratory Sounds Analysis
    Lozano, Manuel
    Fiz, Jose A.
    Jane, Raimon
    [J]. 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 981 - 984
  • [3] Empirical mode decomposition based on instantaneous frequency boundary
    Li, Jiafu
    Wang, Jun
    Zhang, Xiaolin
    Tang, Wenyan
    [J]. ELECTRONICS LETTERS, 2017, 53 (12) : 781 - 782
  • [4] Estimation of instantaneous frequencies using iterative empirical mode decomposition
    Gupta, Rinki
    Kumar, Arun
    Bahl, Rajendar
    [J]. SIGNAL IMAGE AND VIDEO PROCESSING, 2014, 8 (05) : 799 - 812
  • [5] Estimation of instantaneous frequencies using iterative empirical mode decomposition
    Rinki Gupta
    Arun Kumar
    Rajendar Bahl
    [J]. Signal, Image and Video Processing, 2014, 8 : 799 - 812
  • [6] A robust method for analyzing the instantaneous attributes of seismic data: The instantaneous frequency estimation based on ensemble empirical mode decomposition
    Li, Xiangfang
    Chen, Wenchao
    Zhou, Yanhui
    [J]. JOURNAL OF APPLIED GEOPHYSICS, 2014, 111 : 102 - 109
  • [7] Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition
    Wang, Fu-Tai
    Chan, Hsiao-Lung
    Wang, Chun-Li
    Jian, Hung-Ming
    Lin, Sheng-Hsiung
    [J]. SENSORS, 2015, 15 (07): : 16372 - 16387
  • [8] NOISE CORRUPTION OF EMPIRICAL MODE DECOMPOSITION AND ITS EFFECT ON INSTANTANEOUS FREQUENCY
    Kaslovsky, Daniel N.
    Meyer, Francois G.
    [J]. ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS, 2010, 2 (03) : 373 - 396
  • [9] Instantaneous Frequency Selective Filtering Using Ensemble Empirical Mode Decomposition
    Gupta, Rinki
    Kumar, Arun
    Bahl, Rajendar
    [J]. IETE JOURNAL OF RESEARCH, 2022, 68 (05) : 3657 - 3669
  • [10] ONLINE EMPIRICAL MODE DECOMPOSITION
    Fontugne, Romain
    Borgnat, Pierre
    Flandrin, Patrick
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 4306 - 4310