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Target tracking has always been a hot research topic in the field of computer vision. Tracking-Learning-Detection (TLD) is a new algorithm for online learning tracking proposed by Zdenek Kalal. In the algorithm, the computation consuming of detection module is relatively large. To solve this problem and improve the algorithm, we proposed an online learning method to adaptively update the threshold...
Blind source separation (BSS) aims to estimate unknown sources from their mixtures. Methods to address this include the benchmark ICA, SCA, MMCA, and more recently, a dictionary learning based algorithm BMMCA. In this paper, we solve the separation problem by using the recently proposed SimCO optimization framework. Our approach not only allows to unify the two sub-problems emerging in the separation...
A new method for structural static reanalysis of topological modifications with Added Degrees of Freedom is presented. The proposed procedure is easy to implement and suit for the case of modifications with the number of DOFs is increased. According to the analysis result of original system, the suitable preconditioner is selected and the response of modified structure is gained by Lanczos algorithm...
Recently, cooperative communication is shown to be a promising approach to improve the transmission’s bandwidth without additional antennas on each node. Under this communication paradigm, the selection of relay nodes significantly affects the network throughput. As interfer-ence will greatly decrease the link’s rate, this paper stud-ies the interference-aware relay node assignment problem for multiple...
In order to use adaptive algorithms more flexible and faster the convergence rate in the process of High Power Amplifier (HPA) adaptive pre-distortion, and overcome the amplitude over-compressing, an efficient adaptive predistorter for HPA is designed, in which the amplitude-amplitude (AM-AM) and amplitude-phase (AM-PM) adaptive pre-distorter are using tandem structure; amplitude pre-distortion device...
Protein crystallization is a commonly used technique for protein analysis and subsequent drug design. It predicts the 3-D arrangement of the constituent amino acids, which in turn indicates the specific biological function of a protein. Protein crystallization experiments are typically carried out in well-plates in the laboratory. As a result, these experiments are slow, expensive, and error-prone...
Packet classification, which classifies the incoming packets according to their head information, is an important technique for the next-generation routers, firewalls and so on. Recursive flow classification algorithm is one of the fastest software packet classification algorithms, but its initialization time is too long, so a timesaving recursive flow classification algorithm is proposed. In phase...
RF techniques have attracted much attention for the indoor tracking, because of its better penetrability than traditional techniques, such as infrared or ultrasound. Generally, existing systems mostly focuses on the localization of the mobile entity. In fact, area information is also an important requirement for some applications, such as intelligent museum explanation, etc. Also, the area information...
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