Title :
Study of Spectrum Analysis Based on EMD Adaptive Filter
Author :
Liu Zeng-li ; Xu Shuang ; Quan Hai-yan ; Guo Yi-gang
Author_Institution :
Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
The empirical mode decomposition (EMD) was recently proposed as a new time-frequency analysis tool for non-stationary and non-linear signals. Firstly, In this paper a new signal analysis method of adaptive filter-EMD-LMS is introduced. Secondly, spectrum analysis of simulated signals are used based on EMD-LMS. Compared with traditional spectrum analysis method, EMD-LMS is a better method for signal analysis and processing.
Keywords :
adaptive filters; least mean squares methods; spectral analysis; time-frequency analysis; EMD adaptive filter; empirical mode decomposition; least mean square method; nonlinear signals; nonstationary signals; signal analysis; signal processing; spectrum analysis; time-frequency analysis tool; Adaptive filters; Analytical models; Computational intelligence; Design automation; Design engineering; Information analysis; Information security; Least squares approximation; Signal analysis; Signal processing; Empirical Mode Decomposition (EMD); Power Spectrum Analysis; least mean square (LMS);
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.84
