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Due to the high accuracy, Daubechies wavelet-based elements have been widely used in many engineering problems. However, comparing with traditional elements, wavelet-based elements always bring in more calculation works, especially as a higher element order is selected. It should be discussed in detail that on the promise of ensuring accuracy, how to select a proper order of Daubechies wavelet-based...
On the basis of image super-resolution reconstruction, the wavelet decomposition model is used to simulate the model of image degraded procedure. So the wavelet construction model and method can be applied to image super-resolution reconstruction. Since the degraded procedures is very complex, the analysis is about the degraded images caused by the high frequencies components are attenuated by the...
Some weak frequency components are important to fault diagnosis, but they sometimes cannot be discovered by using general signal processing methods. To extract from the important components from vibration signal efficiently, an equivalent power spectrum analysis approach is proposed in this paper which applies the Redundant Wavelet Transform (RWT) decomposition by using an orthogonal wavelet as a...
In this paper, the structure of multi-scale decomposition and reconstruction of empirical mode decomposition (EMD) theory is defined. Through the combination of wavelet and EMD theory, a new EMD-wavelet dynamic deformation data de-noising model is proposed. The model is presented to reduce noise of coordinate time series. Firstly, the non-linear series are decomposed into stationary IMFs and residual...
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