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Medical Big Data (MBD) is all concerned with the medical related bio-informatics data. The importance of medical investigations for disease identification and complications highly depend upon the quality data. This scientific era is the age of digital imaging and information processing. For every individual the medical record is collection of important data. Due to the smart telecommunication technology...
Wavelet analysis is the perfect combination of pure mathematics, applied mathematics and engineering technology which inherits and develops Fourier analysis and has been widely used. This paper mainly introduces the generation and development of wavelet analysis, discusses the characteristics of several commonly used wavelet functions, introduces the application of wavelet analysis in big data and...
The orthogonal wavelet lowpassed filters coefficients with arbitrary length are constructed in this paper. When N=2k and N= 2k−1, the general analytic constructions of orthogonal wavelet filters are put forward, respectively. The famous Daubechies filter and many other wavelet filters are tested by the proposed novel method, which is very useful for wavelet theory research and many applications areas...
A digital watermark technique based on the wavelet transform is presented in the paper. To ensure the security of the watermark image, the watermark image is scrambled before embedding. According to the characteristics of the multiresolution decomposition of the wavelet transform, the watermark values in different directions and subbands are added by various intensities to the corresponding directions...
The Lifting Scheme provides us a flexible and easy way for constructing wavelet, which enables us to construct wavelet according to application needs. Its flexibility allows us to introduce nonlinearity into wavelet and modify it based on signal processed. The Adaptive Lifting Scheme provided the way of adjusting the filters via updater U and predictor P in lifting stages according to signal characters...
A novel adaptive, multi-channel, tree-structure wavelets transform is introduced in this paper. Its high efficiency of texture classification, global evaluation and feature extraction is illustrated by the experiment at end of this paper. It can achieve good application results in real application.
The objective of this study is to assess the cerebral oxygenation oscillations in subjects with cerebral infarction (CI) based on the wavelet transform of near infrared spectroscopy (NIRS) signals. A total of twenty subjects were recruited from a local hosipital to participate in this study. The subjects lay in the supine position and cerebral oxygenation signal was monitored for 20 minutes from the...
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