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作者： Fang, Xianyong Shen, Feng Guo, Yanwen Jacquemin, Christian Zhou, Jian Huang, Shanchun Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei230601 China State Key Lab. for Novel Software Technology Nanjing University Nanjing210023 China AMI LIMSI-CNRS Orsay91403 France

ISBN: (纸本)9781479957514

Despite numerous efforts on blur measurement of partially blurred images, there still lacks an effective blur measure that is both pixel-wise and locally sharp consistent. The paper proposes a novel method with two contributions to overcome this limitation: 1) A new pixel-based blur metric, Multi-resolution Singular Value (MSV), which leverages the average singular value of high frequency bands to measure the blur of each pixel, and 2) a locally continuous strategy, maximum-likelihood estimation (MLE) based refinement, that ensures local continuity by imposing the local sharp consistency on pixel blur in a local correcting process. Experimental results show that our method is effective to smoothly measure the partially blurred images without local discontinuity. © 2014 IEEE.

关键词： Pixels

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Time-delay estimation for TOA-based localization of multiple sensors

Time-delay estimation for TOA-based localization of multiple...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Richard Heusdens Nikolay Gaubitch Signal and Information Processing lab. Delft University of Technology The Netherlands

In many applications using multiple sensors, knowledge of the relative positions of the sensors is required. The locations of the sensors can be obtained from measured time-of-arrivals (TOAs) of events generated by sources. Although several TOA-based localization techniques exist, practical TOA measurements are incomplete because they include an unknown internal delay; the time taken from the signal reaching the sensor to that it is registered as received by the capturing device. In order to localize the sensors properly, these internal delays need to be estimated accurately. In this paper we propose a method for estimating the internal delays by using a data fitting technique based on structured total least squares. Under reasonable assumptions we show that the algorithm is guaranteed to converge to the optimal solution and ultimately achieves a quadratic rate of convergence. Experimental results show that the execution time is less than 1% of the execution time of existing methods while attaining an even higher accuracy.

关键词： Sensors Delays Receivers Convergence Least squares approximations Minimization Accuracy

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CALIBRATION OF DISTRIBUTED SOUND ACQUISITION SYSTEMS USING TOA MEASUREMENTS FROM A MOVING ACOUSTIC SOURCE

CALIBRATION OF DISTRIBUTED SOUND ACQUISITION SYSTEMS USING T...

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IEEE International Conference on Acoustics, Speech and signal processing

作者： Nikolay D. Gaubitch W. Bastiaan Kleijn Richard Heusdens Signal and Information Processing Lab. Delft University of Technology Netherlands

ISBN: (纸本)9781479928941

We present a method for calibrating a distributed microphone array using time-of-arrival (TOA) measurements. The calibration encompasses localization and gain equalization of the microphones, which are both important in applications such as beamforming. The availab.lity of accurate TOA measurements between the microphones and a set of spatially distributed acoustic events is pivotal to the calibration task. We propose to use a moving acoustic source emitting a calibration signal at known intervals. We then show that the TOAs and the observed signals can be used to estimate the gain differences between microphones in addition to the more established microphone localization. Finally, we provide experimental results with simulated and real measured data to demonstrate that our approach facilitates accurate TOA measurements and hence, accurate localization and gain equalization, even in reverberant and noisy conditions.

关键词： Microphones Calibration Acoustics Delays Arrays Noise Acoustic measurements

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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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On near-field beamforming with smartphone-based ad-hoc microphone arrays

On near-field beamforming with smartphone-based ad-hoc micro...

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International Workshop on Acoustic signal Enhancement (IWAENC)

作者： Nikolay D. Gaubitch Jorge Martinez W. Bastiaan Kleijn Richard Heusdens Signal and Information Processing Lab. Delft University of Technology Netherlands School of Engineering and Computer Science Victoria University of Wellington New Zealand

Spatial audio processing using ad-hoc microphone arrays that consist of mobile devices, such as smartphones, is an attractive approach for future speech and audio capturing applications. However, many issues including microphone localization, clock synchronization and gain equalization, need consideration before such ad-hoc arrays can be applied in practice. An additional issue that needs to be considered is the microphone directivity of the devices. In this paper, we present measured microphone responses for nine different smartphones and we demonstrate the effects of the directivity responses on beamforming using the minimum-variance distortionless response (MVDR) beamformer as an example. Our results show that the beamforming output can be degraded considerably if the microphone responses are not considered in the beamformer design.

关键词： Array signal processing Microphone arrays Speech Smart phones Acoustics Microwave integrated circuits

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Player Classification Algorithm Based on Digraph in Soccer Video

Player Classification Algorithm Based on Digraph in Soccer V...

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2014 IEEE 7th Joint International Information technology and Artificial Intelligence Conference

作者： Shi-bai SUN Rong-yi CUI Intelligent Information Processing Lab. Department of Computer Science & Technology Yanbian University

Player classification method based on the tradition histograms lacks color spatial information, which leads to low classification performance, and, in addition, it needs priori template information. According to this, a novel player classification algorithm based on digraph was proposed in this paper. Firstly, the candidate players were extracted through the main color under the HSV Model Space of Color and equal-area rectangle partitioning strategy was adopted to partition the image. Secondly, HSV color space was quantified in each block and color histogram was extracted as color features. Thirdly, the distance among images was calculated according to the color features and the digraph was generated based on the distance matrix. Finally, the player classification was implemented by classifying the vertexes of digraph. Experimental results show that the proposed method, without priori template information, is an effective way of classifying the players positioned around the classification boundary with an average classification accuracy of 98.82%. Compared with traditional method, the proposed method has a remarkable promotion on classification effect.

关键词： player classification HSV color space histogram digraph

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Face recognition systems based on independent component analysis and support vector machine

Face recognition systems based on independent component anal...

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International Conference on Audio, Language and Image processing, ICALIP

作者： Jia Jun Zhang Yu Ting Shi Zhejiang Key Lab. for Signal Processing Zhejiang University of Technology Hangzhou Zhejiang P.R. China

ISBN: (纸本)9781479939046

This paper presents an approach for face recognition system based on independent component analysis (ICA) and support vector machine(SVM). The ICA is a feature extraction technique for isolating a multivariate signal into additive subcomponents by considering that the hidden components are non-Gaussian signals. It has been mainly used on the problem of blind signal separation, while support vector machine is a very effective tool to classify the objects/faces into the right category. In this paper, a face recognition system was proposed based on these two techniques. Experiments were carried out on ORL, Yale and YaleB face databases. Simulation results reveal that the proposed system using ICA and SVM can achieve a higher recognition rate with the increasing number of face features. The results also show that the SVM using radial basis functions yields a better performance.

关键词： Support vector machines Face Face recognition Databases Principal component analysis Kernel Independent component analysis

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Iteratively reweighted least squares for block-sparse recovery

Iteratively reweighted least squares for block-sparse recove...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Shuang Li Qiuwei Li Gang Li Xiongxiong He Liping Chang Zhejiang Key Lab. for Signal Processing Zhejiang University of Technology Hangzhou Zhejiang P.R. China

The compressive sensing (CS) theory has shown that sparse signals can be reconstructed exactly from much fewer measurements than traditionally believed. What's more, using ℓ p -norm minimization with p

ISBN: (纸本)9781479943142

关键词： Dictionaries signal processing algorithms Vectors Sparse matrices Minimization Equations Compressed sensing

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An Overview on Multi-dimensional Data Uncertainty Visualization

An Overview on Multi-dimensional Data Uncertainty Visualizat...

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2012 International Conference on Convergence computer technology(IC3T 2012)

作者： He Huaiqing Wang He College of Computer Science and Technology Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

First,this paper briefly introduces the concepts and sources of *** this basis,we provide an overview on the theories and methods of multi-dimensional data uncertainty visualization,such as:visual variables and additional visual objects,the application of color in visualization and two commonly used multi-dimensional data representation-parallel coordinates and star ***,with the integration of the color,saturation,parallel coordinates and star glyph,we tentatively propose a visualization method on multi-dimensional data uncertainty.

关键词： Uncertainty,Uncertainty Visualization,Color,Parallel Coordinates,Star Glyph

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Visualization of Multidimensional Uncertainty by the Integration of Parallel Coordinates and Star Glyphs

Visualization of Multidimensional Uncertainty by the Integra...

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2012 International Conference on Convergence computer technology(IC3T 2012)

作者： He Huaiqing Yang lei Xu Qing College of Computer Science and Technology Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

Prior work about uncertainty visualization has been primarily focused on spatio-temporal or univariate data. Little research has been reported on exploring uncertainty of multidimensional data. Therefore, improved visualizations applying to parallel coordinate and star glyph will be discussed and utilized to visualize multidimensional uncertainty. Firstly, parallel coordinate will be modified through imposing visual variables and expanding traditional two-dimensional visualization to three-dimensional way. Then the concept of multi-view visualization will be put forward, because of the shortcoming that traditional parallel coordinate can not be mapped with the order of data and the problem of overlapping polylines. Meanwhile, four HCI technologies such as brushing, Linking, Zooming in/out, Hiding are imposed to the improved visualizations to help users to focus on what they find interesting and details of corresponding data with different uncertainty intervals. Eventually, MFC and OPENGL technology will be combined to construct an experimental platform to validate our proposed new ideas.

关键词： Uncertainty Visualization, Multidimensional Data, Parallel Coordinate, star glyph, HCI, MFC,OPENGL

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