Journal Paper

Paper Title - Adaptive Orthogonal Signal Decomposition Based On Empirical Mode Decomposition And Empirical Wavelet Transform


Abstract
Empirical mode decomposition (EMD) and Empirical wavelet transform (EWT) are recently developed adaptive signal processing tools. These techniques decompose a signal accordingly to its contained information. The main issue with EMD is its lack of theory and in case of EWT a prior knowledge of the signal is required. IMF’s obtained as a result of applying EMD are quasi-orthogonal .This paper suggest how to overcome these difficulties. For this Gram-Schmidt orthogonalization procedure is applied to the IMF’s generated. The number of orthogonal components obtained determines the number of modes for applying EWT to the same signal.


Author - Ligi Elsa Cheriyan, P.Janardhanan

Citation - Ligi Elsa Cheriyan   ,   P.Janardhanan   ,   Ligi Elsa Cheriyan, P.Janardhanan " Adaptive Orthogonal Signal Decomposition Based On Empirical Mode Decomposition And Empirical Wavelet Transform " , International Journal of Industrial Electronics and Electrical Engineering , Volume-2,Issue-5  ( May, 2014 )

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| Published on 2014-06-20