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This paper addresses the image deblurring problem, where a known linear space-invariant point-spread function (PSF) is to be deconvoluted from a given blurry image, with addictive zero-mean white and homogeneous Gaussian additive noise. We propose a novel MAP image deblurring method based on sparse representation and Laplacian mixture modeling. The research contents mainly include: (1) Establish the...
Since the modern buildings are permeated with WiFi Access Points, the position information of WiFi APs can enable a variety of Location Based Services. A popular design pattern is to estimate AP position by measuring its signal strength at several Measurement Points. In order to acquire this information, the location and formation of signal Measurement Points (MP) is very critical. It is very important...
Different with a traditional orientation analysis or frequency analysis which is commonly used for the fingerprint reference point determination, a new fingerprint reference point determination method based on a novel inconsistency feature obtained from the relationship between ridgelines and curves of a fingerprint is proposed. For the proposed method, an improved enhancement method is introduced...
The fingerprint quality can be used as a good predictor for fingerprint recognition performance. Knowing the fingerprint quality in advance is useful to improve the performance of fingerprint recognition system. In this paper, we propose an effective quality estimation system with 4 rules which are applied in two-step. Each rule consists of a Back-Propagation Neural Networks (BPNN) classifier based...
The fingerprint quality is considered as a good predictor for fingerprint recognition performance and knowing the fingerprint quality in advance is useful to improve the fingerprint recognition performance. The existing fingerprint quality estimation systems are all designed for minutiae-based fingerprint recognition system. But with the obvious advantage and widespread of ROI-based fingerprint recognition...
In a no-arbitrage environment, the both assumptions of risk neutrality and rational expectations imply that the forward foreign exchange rate should be an unbiased predictor of the corresponding spot rate. This paper focused on Chinese foreign exchange market and examined whether RMB-USD forward exchange rate is unbiased estimate of the spot rate and tried to look for the reasons of the biased estimation...
Space-borne synthetic aperture radar is widely used in the military field. To counter space-borne SAR, it is necessary to estimate the parameters of space-borne SAR in real-time. After Receiving the signals of SAR, fractional Fourier transform is applied to both single pulse and pulse train, which can estimate the parameters in real-time. Theory analysis and Numerical simulation show this method has...
Analyzing the quality of fingerprints in advance can be benefit for a fingerprint recognition system to improve its performance. Representative features for the quality assessment of fingerprint images from two existed types of capture devices are different. Orientation certainty level (OCL) is an effective method to extract image orientation feature. However it is not an effective estimation system...
In this article we attempt to reexamine the familiar relationship between forward rate and future spot rate using RMB-USD on daily basis. By means of using cointegration techniques, we find that the RMBpsilas future spot rate and the current forward exchange rate have a long stable relationship and Granger causality testing proved that RMBpsilas spot exchange rate can be treated as an exogenous. However,...
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