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检索条件"机构=Science and Technology on Blind Signal Processing Laboratory"

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Statistical parametric mapping of FMRI data using sparse dictionary learning

Statistical parametric mapping of FMRI data using sparse dic...

引用

IEEE International Symposium on Biomedical Imaging

作者： Kangjoo Lee Jong Chul Ye Bio-Imaging & Signal Processing Laboratory Department Bio & Brian Engineering Korea Advanced Institute of Science and Technology Daejeon South Korea

ISBN: (纸本)9781424441259;9781424441266

Statistical parametric mapping (SPM) of functional magnetic resonance imaging (fMRI) uses a canonical hemodynamic response function (HRF) to construct the design matrix within the general linear model (GLM) framework. Recently, there has been many research on data-driven method on fMRI data, such as the independence component analysis (ICA). The main weakness of ICA for fMRI is its restrictive assumption, especially independence. Furthermore, recent study demonstrated that sparsity is more important than independency in ICA analysis for fMRI. Hence, we propose sparse learning algorithm, such as K-SVD, as an alternative, that decomposes the dictionary-atoms using sparsity rather than independence of the components. For the fMRI finger tapping task data, we employed the K-SVD algorithm to extract the time-course signal atoms of brain activation. The activation maps using trained dictionary as a design matrix showed tightly localized signals in a small set of brain areas.

关键词： Dictionaries Independent component analysis Scanning probe microscopy Magnetic resonance imaging Hemodynamics Sparse matrices Magnetic analysis Fingers Data mining signal design

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A sparse Bayesian learning for highly accelerated dynamic MRI

A sparse Bayesian learning for highly accelerated dynamic MR...

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IEEE International Symposium on Biomedical Imaging

作者： Hong Jung Jong Chul Ye Bio-Imaging & Signal Processing Laboratory Department of Bio and Brain engineering Korea Advanced Institute of Science and Technology Daejeon South Korea

ISBN: (纸本)9781424441259;9781424441266

In dynamic MRI, spatio-temporal resolution is a very important issue. Recently, compressed sensing approach has become a highly attracted imaging technique since it enables accelerated acquistion without aliasing artifacts. Our group has proposed an ℓ 1 -norm based compressed sensing dynamic MRI called k-t FOCUSS, which outperforms existing methods. However, it is known that the restrictive conditions for ℓ 1 exact reconstruction usually cost more measurements than ℓ 1 minimization. In this paper, we adopts a sparse Bayesian learning approach to improve k-t FOCUSS and achieve ℓ 0 solution. We demonstrated the improved image quality using in vivo cardiac cine imaging.

关键词： Bayesian methods Acceleration Magnetic resonance imaging Compressed sensing Focusing High-resolution imaging Image reconstruction Costs Image quality In vivo

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In-orbit performance of the SMOS reference radiometers - results from the early commissioning phase

In-orbit performance of the SMOS reference radiometers - res...

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Microwave Radiometry and Remote Sensing of the Environment, MICRORAD

作者： Juha Kainulainen Andreas Colliander Department of Signal Processing and Acoustics School of Science and Technology Aalto University Aalto Finland Je Propulsion Laboratory California Institute of Technology Pasadena CA USA

In this paper we present a preliminary analysis of the radiometric performance of the three 1.4 GHz Noise Injection Radiometers of the SMOS satellite. We assess the radiometric resolution and stability of the receivers, and the similarity between their measurements. The units aim at measurements of a common antenna temperature, which determines the overall brightness temperature level of SMOS retrievals. For this purpose, we use measurement data gathered during the first two months of the in-orbit operations of the satellite, which was launched in November 2009. The preliminary assessment of the abovementioned performance parameters shows that the units meet the requirements with a margin.

关键词： Antenna measurements Temperature measurement Extraterrestrial measurements Sea measurements Calibration Ocean temperature Noise

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Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials

Identical fits of nonnegative matrix/tensor factorization ma...

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International Joint Conference on Neural Networks (IJCNN)

作者： F. Cong A.H. Phan A. Cichocki H. Lyytinen T. Ristaniemi Department of Mathematical Information Technology University of Jyvaskyla Agora Finland Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Japan

Nonnegative Matrix/Tensor factorization (NMF/NTF) have been used in the study of EEG, and the fit (explained variation) is often used to evaluate the performance of a nonnegative decomposition algorithm. However, this parameter only reveals the information derived from the mathematical model and just exhibits the reliability of the algorithms, and the property of EEG can not be reflected. If fits of two algorithms are identical, it is necessary to examine whether the desired components extracted by them are identical too. In order to verify this doubt, we performed NMF and NTF on the same dataset of an auditory event-related potentials (ERPs), and found that the identical fits of NMF and NTF under the hierarchical alternating least squares algorithms corresponded to different desired ERPs extracted by NMF and NTF, moreover, NTF contributed the ERP with much better timing and spectral properties. Such analysis implies that to combine the fit and property of the desired ERP component together helps evaluate the performance of NMF and NTF algorithms in the study of ERPs.

关键词： Time frequency analysis Variable speed drives DSL

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Motor imagery classification based on the optimized SVM and BPNN by GA

Motor imagery classification based on the optimized SVM and ...

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International Conference on Intelligent Control and Information processing (ICICIP)

作者： Yingying Jiao Xiaopei Wu Xiaojing Guo Key Laboratory of Intelligent Computing & Signal Processing MOE Anhui University Hefei China School of Computer Science and Technology Anhui University China

Brain-computer interface (BCI) is a specific Human-Computer interface in which the brain wave is employed as the carrier of control information. The ultimate goal of BCI is to build a direct communication pathway between human brain and external environment that does not depend on the limb mobility and language. In this paper, we carry out the experiment about the left or right hand motor imagery, and support vector machine with genetic algorithm (GA-SVM) and back propagation neural network with genetic algorithm (GA-BP) are employed to classify the μ rhythm evoked by movement imagination. The experiment results prove that GA-SVM can easily find out the appropriate parameters of SVM and GA-BP can avoid getting into local minimization to great extend. So higher accuracy of classification is achieved.

关键词： Support vector machines Classification algorithms Kernel Biological cells Accuracy Educational institutions Biological neural networks

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Two protocols for computing the sub-polygon's areas divided by a line

Two protocols for computing the sub-polygon's areas divided ...

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International Conference on Advanced Computer Theory and Engineering, ICACTE

作者： Hong Zhong Hongsheng Huang Runhua Shi Key Laboratory of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei China 230039 Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Hefei Anhui PR China School of Computer Science and Technology Anhui University Hefei Anhui PR China

Secure Multi-party Computation (SMC) plays an important role in information security under the circumstance of cooperation calculation, so SMC on privacy-preservation is of great interest. In this paper we discuss an issue which is a special SMC problem. Based on Scalar Product Protocol, Monte Carlo Method and Oblivious Transfer, we give two solutions to the problem about how to decide the areas. That is, a polygon is divided into two parts by a line: S 1 and S 2 . Furthermore, we analyze the security and computational complexity, as well as the comparison of these two protocols. The results of analysis show that the proposed protocols are secure and efficient. We believe the two protocols will be useful in other geometric and combinatorial problems.

关键词： Computers Geometry

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Reduction of broadband noise in speech signals by multilinear subspace analysis

Reduction of broadband noise in speech signals by multilinea...

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作者： Sato, Yusuke Hoya, Tetsuya Bakardjian, Hovagim Cichocki, Andrzej Department of Mathematics College of Science and Technology Nihon University 1-8-14 Kanda-Surugadai Chiyoda-ku Tokyo 101-8308 Japan Laboratory for Advanced Brain Signal Processing BSI RIKEN 2-1 Hirosawa Wakoh-City Saitama 351-0198 Japan

A new noise reduction method for speech signals is proposed in this paper. The method is based upon the N-mode singular value decomposition algorithm, which exploits the multilinear subspace analysis of given speech data. Simulation results using both synthetically generated and real broadband noise components show that the enhancement quality obtained by the multilinear subspace analysis method in terms of both segmental gain and cepstral distance, as well as informal listening tests, is superior to that by a conventional nonlinear spectral subtraction method and the previously proposed approach based upon sliding subspace projection. © 2010 ISCA.

关键词： Speech enhancement

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Zhujin Zhang Shuo Wang Xingyi Zhang Zheng Zhang School of Computer and Information Science University of South Australia Adelaide SA Australia Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei China

Randić et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with time complexity O(n 2 ), and find another important advantage in the representation: no degeneracy. Moreover, we propose a new method to do similarity analysis of DNA sequences based on the representation. The approach adopts four elements of covariance matrix as a descriptor, and is illustrated on the first exon of beta-globin genes from 11 different species.

关键词： Rabbits Educational institutions Bovine Humans Sun DNA Mice

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A Distributed Group Signature Scheme with Traceable Signers for Mobile Ad Hoc Networks

A Distributed Group Signature Scheme with Traceable Signers ...

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The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Hong Zhong Runhua Shi Key Laboratory of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei China 230039 School of Computer Science and Technology Anhui University Hefei China 230039

ISBN: (纸本)9781424472352

In this paper, we propose a distributed group signature scheme with traceable signers for mobile Ad hoc networks. In such scheme, there isn't a trusted center, and all members of Ad hoc group cooperate to generate all system parameters and all private/public keys. Any ' members in Ad hoc group can collaboratively generate the group signature with the help of a designated clerk, where the signer respectively generates the partial signature by using his private key and the clerk can check the correctness of the partial signature. Furthermore, anyone can verify the validity of the group signature by the group public key and trace back to find the identities of signers from the warrant created by the clerk. What's more, it can dynamically increase the parameter values of ~t and ~n, according to the actual security needs of mobile Ad hoc networks, but the private and public keys of the whole Ad hoc group still are not changed for relatively long-term stability.

关键词： group signature shamir's secret sharing mobile ad hoc networks traceable distributed

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On Dynamic Weighting of Data in Clustering with K-Alpha Means

On Dynamic Weighting of Data in Clustering with K-Alpha Mean...

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International Conference on Pattern Recognition

作者： Si-Bao Chen Hai-Xian Wang Bin Luo Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei Anhui China Key Laboratory of Child Development and Learning Science of Ministry of Education Research Center of Learning Science South-East University Nanjing Jiangsu China

ISBN: (纸本)9781424475421

Although many methods of refining initialization have appeared, the sensitivity of K-Means to initial centers is still an obstacle in applications. In this paper, we investigate a new class of clustering algorithm, K-Alpha Means (KAM), which is insensitive to the initial centers. With K-Harmonic Means as a special case, KAM dynamically weights data points during iteratively updating centers, which deemphasizes data points that are close to centers while emphasizes data points that are not close to any centers. Through replacing minimum operator in K-Means by alpha-mean operator, KAM significantly improves the clustering performances.

关键词： Clustering algorithms Heuristic algorithms Indexes Partitioning algorithms signal processing algorithms Euclidean distance Iris

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