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On the account of the colon cancer genetic data signals are non-stationary and difficult to obtain a large number of cancer samples in the actual conditions, this text proposes a diagnostic research method of colon cancer based on EMD (empirical mode decomposition) combining with LS-SVM. Adopting the method of EMD decomposes the genetic signals of normal people and colon cancer patients. Figure out...
Empirical Mode Decomposition (EMD) is an effective, non-linear and non-stationary data analysis method, which can decompose the original signal into several intrinsic mode functions(IMFs). However the frequency resolution of EMD has not been thoroughly investigated so far. In this paper a signal which contains two different frequency components was do composed with EMD, and subsequently the obtained...
In order to solve the signal during transmission on the external mixture of noise, this paper presents the wavelet de-noising based on empirical mode decomposition (EMD), with Wu and others view that the previous order intrinsic mode function (IMF) components need for the wavelet de-noising, and with the wavelet threshold de-noising method and directly remove the high frequency components of EMD de-noising...
Hilbert-Huang Transform (HHT) is widely used in extracting the instantaneous characteristics of signals. If using Hilbert Transform to deal with signals, the signals must Satisfy certain conditions, or else there will be errors in extracting the instantaneous characteristics of general signals. To solve this problem, a new method was proposed which combines EMD with the Energy Operator Separation...
First, the false peak of Burg Spectrum estimation is introduced. In this paper, a new method of eliminating false peak based on Empirical Mode Decomposition is proposed. Secondly, this new method is used in the Line spectrum analysis of ship radiated noise simulation signal. Compared with traditional Linear Spectrum analysis, it is a better method for signal analysis and processing.
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...
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