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An effective estimation method is proposed for the constant horizontal velocity biases in the inertial-based integrated navigation systems. First, the analytical effects of the constant horizontal velocity biases on the exact inertial navigation errors are analyzed by the output-correction Kalman filter. Second, the sliding-window least-squares estimation method for the biased horizontal velocity...
Accurate registration of 3-D point clouds is a common problem in computer vision. This paper presents a new two-stage algorithm for point clouds registration. A novel local invariant feature which is a k-dimensional vector is proposed and used in our coarse registration stage. Two new structural constraints combined with the Iterative Closest Point (ICP) algorithm are adopted in our fine registration...
To the underdetermined sparse component analysis (SCA) model with noise, a new robust clustering algorithm based on normalized signal for mixture matrix estimation is addressed in this paper. This approach consists of two parts: signal clustering and matrix recovery. In the first step, according to the feature of normal signals clustering intensively on the unit observed signal hyper-sphere, we propose...
Risk measurement is an important prerequisite in modern finance. This paper aims to measure exchange rate risk of Chinese exchange market. We firstly examine the heteroscedasticity of the return series of USD/CNY and EUR/CNY data, the results suggest that there is obvious heteroscedasticity. Secondly, we choose the best GARCH model to filter the return series to i.i.d residual series and employ extreme...
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