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
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;
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3119-9
DOI :
10.1109/CISP.2008.483