DocumentCode
2144272
Title
Adaptive Instantaneous Frequency Estimation Based on EMD and TKEO
Author
Zhang, Yuping ; Li, Hui ; Bi, Lihong
Author_Institution
Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang
Volume
1
fYear
2008
fDate
27-30 May 2008
Firstpage
60
Lastpage
64
Abstract
An adaptive approach to the estimation of the instantaneous frequency (IF) of non-stationary and nonlinear multi-component signals is presented. This method relates to the newly developed empirical mode decomposition (EMD) and Teager Kaiser energy operator (TKEO). EMD can adaptively decompose signal into a series of zero mean amplitude modulation-frequency modulation (AM-FM) intrinsic mode functions (IMFs). TKEO can track the instantaneous frequency (IF) and the instantaneous amplitude (IA) of the AM-FM component at any time instant. Two simulated signals are conducted to evaluate the effectiveness of the proposed method. Simulation results show that EMD and TKEO are effectively applied to signal of multi-component for the extraction of instantaneous frequency.
Keywords
adaptive estimation; amplitude modulation; frequency estimation; frequency modulation; signal processing; Teager Kaiser energy operator; adaptive instantaneous frequency estimation; empirical mode decomposition; nonstationary nonlinear multicomponent signals; zero mean amplitude modulation-frequency modulation intrinsic mode functions; Adaptive signal processing; Amplitude modulation; Analytical models; Bismuth; Frequency estimation; Power engineering and energy; Rail transportation; Railway engineering; Signal analysis; Signal processing; Empirical Mode Decomposition; Instantaneous Frequency; Intrinsic Mode Functions; Signal Processing; Teager Kaiser Energy Operator;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.483
Filename
4566119
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