Wenkai Lu

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Independent component analysis (ICA) proves to be effective in the removing the ocular artifact from electroencephalogram recordings (EEG). While using ICA in ocular artifact correction, a crucial step is to correctly identify the artifact components among the decomposed independent components. In most previous works, this step of selecting the artifact(More)
Nonlinear classification problems are always assumed to be equivalent to a linear classification problem in some higher dimensional feature space. Kernel machines like support vector machines (SVMs) implicitly map the features to higher dimensional feature space by a kernel trick, and use all the mapped features for classification. This paper proposes an(More)
An iterative algorithm is presented for blind channel estimation of a nonminimum phase system using the zero-lag slice (ZS) of its third-order moment (TOM) only. The proposed method has simple computations because it is performed by using simple one-dimensional (1-D) operations with fast convergency and needs calculation of the ZS only. Furthermore, our(More)
Algebraic reconstruction techniques (ART) are iterative procedures for reconstructing objects from their projections. It is proven that ART can be computationally efficient by carefully arranging the order in which the collected data are accessed during the reconstruction procedure and adaptively adjusting the relaxation parameters. In this paper, an(More)
The following topics are dealt with: neural information processing; supervised learning; unsupervised learning; reinforcement learning; neural modeling; neural architectures; neurodynamics; learning theory; neural networks for image and signal processing; CMOS implementation of neural networks; neural optimization; neural control; hardware implementation;(More)
When plane-wave destruction (PWD) is implemented by implicit finite differences , the local slope is estimated by an iterative algorithm. We propose an analytical estimator of the local slope that is based on convergence analysis of the iterative algorithm. Using the analytical estimator, we design a noniterative method to estimate slopes by a three-point(More)
The cross-correlation is an effective tool for estimating a time delay between two signals. Unfortunately, in practical world, there always exist problems of multi-path time delay estimation (MTDE). The cross-correlation fails to deal with the MTDE case. In this paper, a novel technique for high-resolution multi-path time delay estimation (HMTDE) is(More)