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In this paper, we aim to improve the overall performance of kernel adaptive filters by adaptively combining several component filters with different parameters setting in the practical applications. The convex combination scheme is exploited to incorporate any two parallel diversity branches which could be the component filter or the output of previous combination layer. The proposed convex combination...
Complex kernel-based adaptive algorithms have been recently introduced for complex-valued nonlinear system identification. These algorithms are built upon the same framework as complex linear adaptive filtering techniques and Wirtinger's calculus in complex reproducing kernel Hilbert spaces. In this paper, we study the convergence behavior of the augmented complex Gaussian KLMS algorithm. Simulation...
This paper describes an approach for extracting words, textlines and text blocks by analyzing the spatial configuration of connected domain and word contour rectangles on a given document image. The basic idea is that connected components of black pixels and contours can be used as computational units in document image analysis. In this paper, we try to find a spatial feature and overlapped relationships...
Distributed PF (DPF) was used due to the limitation of nodespsila computing capacity inferring to the target tracking in a wireless sensor network (WSN). In this paper, a novel filtering method - DPF* in WSN is proposed. Instead of transferring value and weight of particles, Gaussian mixture model (GMM) is used to approximate the posteriori distribution, and only GMM parameters need to be transferred...
In this paper, we propose a method for DS-CDMA delay estimation through the use of the downlink channel character. This method is based on Independent Component Analysis using the conjugate descent algorithm to estimate the multi-path mixture matrix and find the delay information which is embodied by the column vector of the mixture matrix using both the independence of information source and the...
In this paper, two techniques based on the optimization of end-to-end distortions in presence of channel errors, are proposed to enhance the error resiliency of the multi-hypothesis coded videos. First, an error resilient motion estimation algorithm is introduced for a given hypothesis-weighting vector to consider the error resiliency, in addition to the traditional coding efficiency. Second, based...
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