DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-2,Issue-5 ( May, 2014 ) | |||||||||
Paper Title |
Adaptive Orthogonal Signal Decomposition Based On Empirical Mode Decomposition And Empirical Wavelet Transform | |||||||||
Author Name |
Ligi Elsa Cheriyan, P.Janardhanan | |||||||||
Affilition |
Department of Electronics and Communication Engineering KMCT College of Engineering, Calicut University, Calicut, Kerala | |||||||||
Pages |
49-52 | |||||||||
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. | |||||||||
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