Clear image stitching becomes mature now, but how to stitch blurred images with clear ones is still tough, mainly because of the ill-posed image deblurring. Existing deblurring methods assume spatial-invarint blur ker...
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Aiming at the traditional blind source separation for the received single-channel mixed radar signal makes it difficult to accurately recover the source signal, a single-channel radar signal comprehensive separation m...
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To improve the reliability of spectrum sensing, a cooperative spectrum sensing information transmission scheme is discussed in this paper. Pre-coding and cyclic delay diversity (CDD) techniques are fully considered an...
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Group delay distortion between channels is one of the most important factors which affect the BER (bit error rate) performance of DBF (digital beam forming) System. The basic principles of DBF and the concept of group...
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The Asymptotic Waveform Evaluation (AWE) technique is an extrapolation method that provides a reduced-order model of linear system and has already been successfully used to analyze wideband electromagnetic scattering ...
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The Asymptotic Waveform Evaluation (AWE) technique is an extrapolation method that provides a reduced-order model of linear system and has already been successfully used to analyze wideband electromagnetic scattering problems. As the number of unknowns increases, the size of Method Of Moments (MOM) impedance matrix grows very rapidly, so it is a prohibitive task for the computation of wideband Radar Cross Section (RCS) from electrically large object or multi-objects using the traditional AWE technique that needs to solve directly matrix inversion. In this paper, an AWE technique based on the Characteristic Basis Function (CBF) method, which can reduce the matrix size to a manageable size for direct matrix inversion, is proposed to analyze electromagnetic scattering from multi-objects over a given frequency band. Numerical examples are presented to il-lustrate the computational accuracy and efficiency of the proposed method.
Independent Component Analysis(ICA)and Common Spatial Patterns(CSP)are commonly used to find spatial filters for classification of electroencephalogram(EEG)signals in motor *** ICA needs physiological knowledge about ...
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Independent Component Analysis(ICA)and Common Spatial Patterns(CSP)are commonly used to find spatial filters for classification of electroencephalogram(EEG)signals in motor *** ICA needs physiological knowledge about the potential changes of task-related EEG signals to select filters manually,this paper proposes to acquire filter information from the spatial filters constructed by CSP,then the improved ICA is compared with CSP from several aspects on BCI competition III dataset IVa as well as dataset of left and right hand motor imagery from our independent *** results suggest the proposed ICA has good classification performance and is better on robustness and flexibility,while CSP is simpler and more suitable for multi-channel EEG.
We propose a novel and efficient SAR image despeckling via Bayesian shrinkage based on nonsubsampled contourlet transform, which has been recently introduced. Despeckling by means of contourlet transform introduce man...
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A novel compact compensation inductance structure optimized by genetic algorithm (GA) for right-angle bended transmission line is proposed to mitigate differential-to-common mode conversion noise in this paper. In com...
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Modelling mixtures of multivariate t-distributions are usually used instead of Gaussian mixture models(GMM) as a robust approach, when one fits a set of continuous multivariate data which have wider tail than Gaussian...
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An efficient SAR image fusion algorithm for multi - polarimetric images based on Directionlets transform is proposed. Directionlets transform is a new lattice-based multiscale analysis anisotropic multi-directional wa...
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