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This paper investigates the robust weighted fusion estimation problem of multi-sensor systems with mixed uncertainties, including stochastic parameter uncertainties, missing measurements and uncertain noise variances. The stochastic parameter uncertainties are described by multiplicative noise. Especially, the variances of both the multiplicative and additive noises are uncertain. By introducing two...
In this paper, the robust measurement fusion prediction problem for multi-sensor systems with stochastic parameter uncertainties in state equation and uncertain noise variances are investigated, where the stochastic parameters uncertainties are described by multiplicative noises. Especially, both the multiplicative and the additive noise variances are uncertain. By introducing the fictitious noise,...
Color brings extra data capacity for QR codes, but it also brings tremendous challenges to the decoding because of color interference and illumination variation, especially for high-density QR codes. In this paper, we put forth a framework for high-capacity QR codes, HiQ, which optimizes the decoding algorithm for high-density QR codes to achieve robust and fast decoding on mobile devices, and adopts...
The design problem of robust fusion Kalman estimators (predictor, filter, smoother) for multi-sensor multichannel autoregressive moving average (ARMA) signal system with uncertain noise variances and missing measurements is addressed. Applying the augmented state-space method and introducing fictitious noises, the ARMA signal system with missing measurements and uncertain noise variances is converted...
This paper addresses the robust estimation problem of single-channel ARMA signal for multi-sensor systems with uncertain noise variances and missing measurements, which is converted into the robust state estimation problem based on the equivalent state space model. By introducing the fictitious noise, the system with random missing measurements and uncertain noise variances is converted into the system...
This paper investigates a novel wavelet tight frame (WTF) constructing strategy for obtaining pseudo second generation bases with non-dyadic time-frequency partition grids. The proposed constructing strategy starts with a known second generation wavelet basis and applies it in an undecimated filterbank. Via forward and inverse transformation procedure, an input signal is decomposed into a set of dyadic...
To estimate the contribution of main vibration and noise sources of vehicles, a source contribution estimation method based on an improved independent component analysis (ICA) algorithm is proposed. A measure of the similarity between the independent components and the reference signals with given characteristics is introduced. A widely used contrast function, namely kurtosis, is enhanced by the measure...
Hand gesture recognition has attracted much attention from academia and industry in recent years due to its apparent superiority over traditional techniques in human-computer interaction in terms of convenience. This domain has been investigated from different perspectives among which vision based approaches provide the most natural and intuitive interfaces. This paper presents a comprehensive review...
Aiming at achieving composite materials damage identification of Structure Health Monitoring (SHM), an preprocessing algorithm of Redundant Second Generation Wavelet (RSGW) considering neighboring coefficients is introduced, which can denoises Lamb wave signals from noise flooding and structure complexity conditions for damage features extraction and further calculations. The practicability is validated...
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