Starting from piecewise constant functions, a novel family of generalized symmetric B-splines, with realizable ideal low-pass filters, are constructed. The first order generalized B-spline low-pass filter is closely r...Starting from piecewise constant functions, a novel family of generalized symmetric B-splines, with realizable ideal low-pass filters, are constructed. The first order generalized B-spline low-pass filter is closely related to functions analytic in a neighborhood of the unit disc and the generalized sinc functions. The properties of this kind of low-pass filters are investigated. The behavior of the generalized B-spline low-pass filter related to normalized Gaussian distribution is considered.展开更多
Semi-supervised learning has been of growing interest over the past few years and many methods have been proposed. Although various algorithms are provided to implement semi-supervised learning,there are still gaps in...Semi-supervised learning has been of growing interest over the past few years and many methods have been proposed. Although various algorithms are provided to implement semi-supervised learning,there are still gaps in our understanding of the dependence of generalization error on the numbers of labeled and unlabeled data. In this paper,we consider a graph-based semi-supervised classification algorithm and establish its generalization error bounds. Our results show the close relations between the generalization performance and the structural invariants of data graph.展开更多
Associated with the Dirac operator and partial derivatives,this paper establishes some real PaleyWiener type theorems to characterize the Clifford-valued functions whose Clifford Fourier transform(CFT) has compact sup...Associated with the Dirac operator and partial derivatives,this paper establishes some real PaleyWiener type theorems to characterize the Clifford-valued functions whose Clifford Fourier transform(CFT) has compact support. Based on the Riemann-Lebesgue theorem for the CFT,the Boas theorem is provided to describe the CFT of Clifford-valued functions that vanish on a neighborhood of the origin.展开更多
基金supported by National Natural Science Foundation of China (Grant Nos.61072126 and 11071058)Natural Science Foundation of Guangdong Province (Grant No. S2011010004986)
文摘Starting from piecewise constant functions, a novel family of generalized symmetric B-splines, with realizable ideal low-pass filters, are constructed. The first order generalized B-spline low-pass filter is closely related to functions analytic in a neighborhood of the unit disc and the generalized sinc functions. The properties of this kind of low-pass filters are investigated. The behavior of the generalized B-spline low-pass filter related to normalized Gaussian distribution is considered.
基金supported by National Natural Science Foundation of China (Grant No. 10771053)Specialized Research Foundation for the Doctoral Program of Higher Education of China (SRFDP) (Grant No. 20060512001)Natural Science Foundation of Hubei Province (Grant No. 2007ABA139)
文摘Semi-supervised learning has been of growing interest over the past few years and many methods have been proposed. Although various algorithms are provided to implement semi-supervised learning,there are still gaps in our understanding of the dependence of generalization error on the numbers of labeled and unlabeled data. In this paper,we consider a graph-based semi-supervised classification algorithm and establish its generalization error bounds. Our results show the close relations between the generalization performance and the structural invariants of data graph.
基金supported by National Natural Science Foundation of China(Grant No.11371007)
文摘Associated with the Dirac operator and partial derivatives,this paper establishes some real PaleyWiener type theorems to characterize the Clifford-valued functions whose Clifford Fourier transform(CFT) has compact support. Based on the Riemann-Lebesgue theorem for the CFT,the Boas theorem is provided to describe the CFT of Clifford-valued functions that vanish on a neighborhood of the origin.
