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The 7th IEEE/International Conference on Advanced Infocomm Technology

作者： Yi Wang Yanjun Hu Key Laboratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University

CoMP has been adopted in 3GPP LTE-Advanced to improve the coverage of high data *** the downlink transmission mode,JP or CB,should be selected for base station cooperation when the backhaul capacity is *** this paper,considering different numbers of users,we propose an adaptive transmission mode *** mitigate the performance degradation caused by mismatching between numbers of transmitting antennas and MSs,we develop a strategy with proportional fairness that takes into account backhaul constraints and users *** simulation results show that the proposed algorithm provide considerable performance gains in the sum rates per cell and the cell-edge user throughput under constrainedcapacity backhaul links.

关键词： Co MP,backhaul,LTE,proportional fairness

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Adaptive comp downlink transmission mode selection in backhaul-constrained cellular systems

Adaptive comp downlink transmission mode selection in backha...

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International Conference on Advanced Infocomm Technology (ICAIT)

作者： Yi Wang Yanjun Hu Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei China

ISBN: (纸本)9781479954568

CoMP has been adopted in 3GPP LTE-Advanced to improve the coverage of high data rates. And the downlink transmission mode, JP or CB, should be selected for base station cooperation when the backhaul capacity is limited. In this paper, considering different numbers of users, we propose an adaptive transmission mode selection. To mitigate the performance degradation caused by mismatching between numbers of transmitting antennas and MSs, we develop a strategy with proportional fairness that takes into account backhaul constraints and users selection. The simulation results show that the proposed algorithm provide considerable performance gains in the sum rates per cell and the cell-edge user throughput under constrained-capacity backhaul links.

关键词： Computer architecture Interference Microprocessors Downlink Transmitting antennas Joints Performance gain

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A DCT-SVD Domain Watermarking for Color Digital Image Based on Compressed Sensing Theory and Chaos Theory

A DCT-SVD Domain Watermarking for Color Digital Image Based ...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Mengmen Li Chao Han Key laboratory of intelligent computing & signal processing Anhui university Hefei China

ISBN: (纸本)9781479970063

In this paper, it is presented that a new color image watermarking algorithm based on compressed sensing theory and chaos theory in discrete cosine transform (DCT) and singular value decomposition (SVD) domain. Initially, a color watermarking image is preprocessed by four steps i.e. Being divided into red, green and blue channels, being sparse by wavelet transform, scrambling by 1-D chaos sequence and measurement through Gaussian random matrix. Here, the chaos sequence is produced by 1-D Logistic mapping. Then the red, green and blue channel images of a color host image are divided into 8×8 blocks and then transformed by DCT. Next the first DCT coefficient of each block is selected to compose a new matrix, and the new matrix is decomposed by SVD. The singular values are the regions of watermarking embedment. Thirdly, three sets of measured coefficients as new watermarking are embedded into the corresponding singular values. Finally, the Iterative Hard Threshold (IHT) algorithm is used to reconstruct the watermarking image. The method proposed can not only enlarge the information capacity of watermarking embedment but also strengthen the security of watermarking in the condition of the good imperceptibility. The experiments show that the scheme is feasible and has good anti-attack ability for JPEG compression, Gaussian white noise, rotating and median filtering.

关键词： Watermarking Chaos Discrete cosine transforms Matrix decomposition signal processing algorithms Robustness Compressed sensing

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The design and realization of a handheld terminal for industrial control purposes,based on RFID and embedded Linux

The design and realization of a handheld terminal for indust...

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2014 International Conference on Future Communication Technology and Engineering (FCTE 2014)

作者： T.Zhang Y.H.Xu Z.Q.Ye Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University

Embedded systems and computational intelligence have been greatly developed in recent *** is necessary to consider the design of a handheld terminal for industrial control purposes because there is still some work done by hand in the industrial process, and it is inconvenient and inefficient. In this paper, a design and achievement of a handheld terminal used in the industrial inspection process is proposed in order to make industrial control more efficient and safer. The handheld terminal hardware consists of ARM11 S3C6410 and RFID module together with a wireless transmission module. As for the software program, we use a QT platform in Fedora to design software programs including serial communication, RFID, and wireless transmission. We also design a useful Chinese input method. Finally, the test shows that the handheld terminal can work well in an industrial process and does have great application prospects.

关键词： The design and realization of a handheld terminal for industrial control purposes,based on RFID and embedded Linux

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A Universal Sparse signal Reconstruction Algorithm via Backtracking and Belief Propagation

A Universal Sparse Signal Reconstruction Algorithm via Backt...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Fang Jiang Yanjun Hu Caiqing She Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei China

ISBN: (纸本)9781479970063

The belief propagation (BP) algorithm under the Bayesian framework can accelerate Compressed Sensing (CS) encoding and decoding by using the sparse encoder matrix. To improve the reconstruction performance we consider a backtracking-based belief propagation algorithm (CS-BBP) for the sparse signal reconstruction. The backtracking is added after performing BP and minimum mean square error (MMSE) estimate in every iteration. Simulation results show that the CS-BBP is a universal reconstruction algorithm which has a good performance for both 1-D Gaussian and 2-D image signal reconstructions.

关键词： Bayes methods Image reconstruction signal to noise ratio Belief propagation signal processing algorithms Compressed sensing signal reconstruction

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Research on the transmission enhancement properties of a novel subwavelength grating structure and mechanism

Research on the transmission enhancement properties of a nov...

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2014 AASRI International Conference on Applied Engineering Sciences（ICAES2014）

作者： H.X.Chang M.Q.Li S.Zhang Y.Ding Key Laboratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University

The subwavelength metal grating is designed and simulated by using the finite difference time domain(FDTD) *** transmission characteristics of subwavelength metal grating structure are studied based on the Lossy Drude dispersive medium *** influence of grating geometry parameters on the transmission characteristics are analyzed,especially for the zero transmission point location of the *** difference between the designed and conventional gratings is that the former introduces the resonant *** show that,compared with the single-layer grating,the triple-layer grating has a better filtering effect,and the transmission spectrum peak is in excess of 82%.It concludes that the transmission peak drift is analyzed by using the waveguide Fabry-Perot(F-P) cavity resonance effect,and the zero transmission point location of the spectrum is independent of the metal layer *** influence rules provide an available reference for the design of the band-pass filters.

关键词： domain THz Research on the transmission enhancement properties of a novel subwavelength grating structure and mechanism

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A novel wideband band-stop filter based on SRR DGS

A novel wideband band-stop filter based on SRR DGS

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2014 AASRI International Conference on Applied Engineering Sciences（ICAES2014）

作者： M.Peng M.Q.Li B.Rong Y.Ding Key Laboratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University

In this paper,a novel design of the Wideband Bandstop Filter,based on Split Ring Resonators,(SRR) is *** Defect Ground Structure(DGS) is achieved by opening the SRR-shaped slot in the ground plane,and the metal cylinder is added between micro-strip line and the *** the above two methods,the wideband bandstop characteristics can be *** proposed structure is simulated by the high frequency simulation software HFSS 13.0,and the effect on the performance of a wideband Band-stop Filter by adding a metal column is *** design of Band-stop Filter structure with three cascaded SRR-shaped DGS units is *** the simulated and measured results show that the attenuation at the resonance frequency center reaches- 55 dB,and its relative bandwidth less than-10 dB is extended to 42% ranging from 5.6 GHz to 8.6 ***,the insertion loss of passband is limited to 1.2 dB.

关键词： A novel wideband band-stop filter based on SRR DGS Filter SRR

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Robust Spatial Filters on Three-Class Motor Imagery EEG Data Using Independent Component Analysis

Robust Spatial Filters on Three-Class Motor Imagery EEG Data...

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2014春季国际工程与技术大会

作者： Bangyan Zhou Xiaopei Wu Lei Zhang Zhao Lv Xiaojing Guo The Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University

Independent Component Analysis(ICA) was often used to separate movement related indepen-dent components(MRICs) from Electroencephalogram(EEG) data. However, to obtain robust spa-tial filters, complex characteristic features, which were manually selected in most cases, have been commonly used. This study proposed a new simple algorithm to extract MRICs automatically, which just utilized the spatial distribution pattern of ICs. The main goal of this study was to show the relationship between spatial filters performance and designing samples. The EEG data which contain mixed brain states(preparing, motor imagery and rest) were used to design spatial filters. Meanwhile, the single class data was also used to calculate spatial filters to assess whether the MRICs extracted on different class motor imagery spatial filters are similar. Furthermore, the spa-tial filters constructed on one subject's EEG data were applied to extract the others' MRICs. Finally, the different spatial filters were then applied to single-trial EEG to extract MRICs, and Support Vector Machine(SVM) classifiers were used to discriminate left hand、right-hand and foot imagery movements of BCI Competition IV Dataset 2a, which recorded four motor imagery data of nine subjects. The results suggested that any segment of finite motor imagery EEG samples could be used to design ICA spatial filters, and the extracted MRICs are consistent if the position of elec-trodes are the same, which confirmed the robustness and practicality of ICA used in the motor imagery Brain Computer Interfaces(MI-BCI) systems.

关键词： ICA Spatial Filter Motor Imagery BCI SVM

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Author Correction: The challenge of mapping the human connectome based on diffusion tractography

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Nature communications 2019年第1期10卷 5059页

作者： Klaus H Maier-Hein Peter F Neher Jean-Christophe Houde Marc-Alexandre Côté Eleftherios Garyfallidis Jidan Zhong Maxime Chamberland Fang-Cheng Yeh Ying-Chia Lin Qing Ji Wilburn E Reddick John O Glass David Qixiang Chen Yuanjing Feng Chengfeng Gao Ye Wu Jieyan Ma Renjie He Qiang Li Carl-Fredrik Westin Samuel Deslauriers-Gauthier J Omar Ocegueda González Michael Paquette Samuel St-Jean Gabriel Girard François Rheault Jasmeen Sidhu Chantal M W Tax Fenghua Guo Hamed Y Mesri Szabolcs Dávid Martijn Froeling Anneriet M Heemskerk Alexander Leemans Arnaud Boré Basile Pinsard Christophe Bedetti Matthieu Desrosiers Simona Brambati Julien Doyon Alessia Sarica Roberta Vasta Antonio Cerasa Aldo Quattrone Jason Yeatman Ali R Khan Wes Hodges Simon Alexander David Romascano Muhamed Barakovic Anna Auría Oscar Esteban Alia Lemkaddem Jean-Philippe Thiran H Ertan Cetingul Benjamin L Odry Boris Mailhe Mariappan S Nadar Fabrizio Pizzagalli Gautam Prasad Julio E Villalon-Reina Justin Galvis Paul M Thompson Francisco De Santiago Requejo Pedro Luque Laguna Luis Miguel Lacerda Rachel Barrett Flavio Dell'Acqua Marco Catani Laurent Petit Emmanuel Caruyer Alessandro Daducci Tim B Dyrby Tim Holland-Letz Claus C Hilgetag Bram Stieltjes Maxime Descoteaux Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. k.maier-hein@dkfz.de. Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. Sherbrooke Connectivity Imaging Lab (SCIL) Université de Sherbrooke Sherbrooke QC J1K 0A5 QC Canada. Department of Intelligent Systems Engineering School of Informatics and Computing Indiana University Bloomington IN 47408 USA. Krembil Research Institute University Health Network Toronto Canada M5G 2C4. Department of Neurological Surgery University of Pittsburgh School of Medicine Pittsburgh PA 15213 USA. IMT-Institute for Advanced Studies Lucca 55100 Italy. Department of Diagnostic Imaging St. Jude Children's Research Hospital Memphis TN 38105 USA. University of Toronto Institute of Medical Science Toronto Canada M5S 1A8. Institute of Information Processing and Automation Zhejiang University of Technology Hangzhou 310023 Zhejiang China. United Imaging Healthcare Co Shanghai 201807 China. Shanghai Advanced Research Institute Shanghai 201210 China. Laboratory of Mathematics in Imaging Harvard Medical School Boston MA 02215 USA. Center for Research in Mathematics Guanajuato 36023 Mexico. PROVIDI Lab Image Sciences Institute University Medical Center Utrecht Utrecht 3508 The Netherlands. Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University Maindy Road Cardiff CF24 4HQ UK. Department of Radiology University Medical Center Utrecht Utrecht 3508 The Netherlands. Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM) Université de Montréal Montreal QC Canada H3W 1W5. Sorbonne Universités UPMC Univ Paris 06 CNRS INSERM Laboratoire d'Imagerie Biomédicale (LIB) 75013 Paris France. Center for Advanced Research in Sleep Medicine Hôpital du Sacré-Coeur de Montréal Montreal Canada H4J 1C5. Neuroimaging Unit Institute of Bioimaging and Molecular Physiology (IBFM) Nat

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Dense Invariant Feature Based Support Vector Ranking for Person Re-identification

Dense Invariant Feature Based Support Vector Ranking for Per...

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IEEE Global Conference on signal and Information processing

作者： Shoubiao Tan Feng Zheng Ling Shao Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei 230039 China Department of Electronic and Electrical Engineering The University of Sheffield Mappin Street Sheffield S1 3JD UK Department of Computer Science and Digital Technologies Northumbria University Newcastle upon Tyne NE1 8ST UK

ISBN: (纸本)9781479975921

Recently, support vector ranking has been adopted to address the challenging person re-identification problem. However, the ranking model based on ordinary global features cannot represent the significant variation of pose and viewpoint across camera views. Thus, a novel ranking method which fuses the dense invariant features is proposed in this paper to model the variation of images across camera views. By maximizing the margin and minimizing the error score for the fused features, an optimal space for ranking has been learned. Due to the invariance of the dense invariant features and the fusion of the bidirectional features, the proposed method significantly outperforms the original support vector ranking algorithm and is competitive with state-of-the-art techniques on two challenging datasets, showing its potential for real-world person re-identification.

关键词： Person Re-identification Dense Invariant Feature Support Vector Ranking Feature Fusion

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