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Automatic classification of Human Epithelial Type-2 (HEp-2) cells staining patterns is a challenging and important problem in the field of medical image analysis. This paper proposed an efficient framework to address the HEp-2 cell image classification problem based on wavelet scattering network and Random Forest. The wavelet scattering network computes rotation-invariant wavelet coefficients as representations...
A Brain-Computer Interface (BCI) system based on Steady State Visual Evoked Potentials (SSVEP) was presented in this paper to realize four-direction motion control of a small ball on the computer screen. The system mainly included five parts of visual stimulator, electroencephalogram (EEG) amplifier, EEG acquisition, EEG processing and machine human interface on the computer screen. The system utilized...
This paper discusses the problem of frequency estimation of one-dimensional harmonics in multiplicative and additive noises. To alleviate the resolution limitation of the traditional Fourier-based algorithms, we introduce a novel wavelet based approach to harmonic retrieval. A wavelet mother function with tunable parameter is constructed by modulating a window function, which makes it easier to get...
The purpose of this paper is to analyze the feasibility of applying wavelet density estimation to ICA algorithm in theory. We propose a novel ICA algorithm based on wavelet density estimation in this paper. The density estimation of the separated signals is directly evaluated by truncated wavelet to approximate the arbitrary density function of sources so that nonlinear function can be adaptively...
In this paper, a novel harmonic retrieval scheme is proposed, which is based on least squares support vector machines (LS-SVM). We consider harmonic signals corrupted by additive noises. The harmonic model is expended by wavelet series, and the corresponding parameters are estimated by weighted LS-SVM approach. Wavelet kernel is adopted to enhance the resolution. Simulations performed on synthetic...
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