Singular value decomposition

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In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix, with many useful applications in signal processing and statistics. (

Conferences related to Singular value decomposition

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2012 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE)

Bioinformatics, Computational Biology, Biomedical Engineering

2012 Chinese Control Conference (CCC)

The Chinese Control Conference (CCC) is an annual international conference organized by the Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA). It provides a forum for scientists and engineers over the world to present their new theoretical results and techniques in the field of systems and control. The conference consists of pre-conference workshops, plenary talks, panel discussions, invited sessions, oral sessions and poster sessions etc. for academic exchanges.

  • 2011 30th Chinese Control Conference (CCC)

    Systems and Control

  • 2010 29th Chinese Control Conference (CCC)

    S1 System Theory and Control Theory S2 Nonlinear Systems and Control S3 Complexity and Complex System Theory S4 Distributed Parameter Systems S5 Stability and Stabilization S6 Large Scale Systems S7 Stochastic Systems S8 System Modeling and System Identification S9 DEDS and Hybrid Systems S10 Optimal Control S11 Optimization and Scheduling S12 Robust Control S13 Adaptive Control and Learning Control S14 Variable Structure Control S15 Neural

  • 2008 Chinese Control Conference (CCC)

    The Chinese Control Conference (CCC) is an annual international conference organized by Tech. Com. on Control Theory, CAA. It provides a forum for scientists and engineers over the world to present their new theoretical results and techniques in the field of systems and control. The conference consists of plenary talks, panel discussions, oral and poster sessions etc. for academic exchanges. The conference proceedings have been selected for coverage in ISI proceedings/ISTP (Index to Scientific and Technical

2012 International Conference on Information and Automation (ICIA)

Information, automation, and related areas.

2010 25th International Symposium on Computer and Information Sciences (ISCIS)

Submitted papers can cover any relevant aspect of Computer Science and Engineering, but they should present a clear research contribution written in a clear and concise manner, with experimental evidence or theoretical developments and proofs that support the claims of the paper. The topics covered include (but are not limited) to Computer Architectures and Digital Systems, Algorithms, Theory, Software Engineering, Data Engineering, Computational Intelligence, System Security, Computer Systems and Netwo

2010 2nd International Conference on Information Engineering and Computer Science (ICIECS)

ICIECS2010 will be held on December 25-26, 2010 in Wuhan, China. This conference will bring together the top researchers from Asian Pacific nations, North America, Europe and around the world to exchange their research results and address open issues in Surveying and Mapping, Artificial Intelligence and Its Application, Image Processing and Digital Signal Processing, Computer Modeling and Simulation, and Software Engineering.

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Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.

Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.

Xplore Articles related to Singular value decomposition

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A Robust Image Watermarking Scheme Based on the Relationship of SVD

Xiangyang Sun; Ju Liu; Jiande Sun; Qiang Zhang; Wei Ji Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on, 2008

In this paper we propose a novel invisible digital watermarking scheme based on singular value decomposition (SVD). In the proposed method, we first divide the image into 8x8 sub blocks, and then each block is decomposed by SVD. The second and third singular values of each block are exchanged if the watermark bit is 1, so the order of the ...

DOA Imaging Algorithm Based on Time-reversal Theory

Yong qing Fu; Yun long Xia Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on, 2007

Time reversal method can be successfully used to locate the unknown targets in deterministic and uniform media. However, it is not appropriate for effective dealing with stochastic effects arising from inhomogeneities in a random medium that cause multipathing. In order to improve imaging effects in random media, an active-transducer array imaging approach motivated by time reversal mirrors is proposed. DOA ...

Dissimilarity reconstruction in information recommendation

Zhong-bao Kou; Tao Ban; Chang-Shui Zhang Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on, 2003

A representation of objects in information recommendation named dissimilarity reconstruction (DSR) is proposed in this paper. DSR tries to simulate the gradually transferring mechanism in people's information evaluation process, capture the structure of a data set and retrieve its intrinsic dimensionality. Dissimilarities between objects are first obtained from Vector Space Model (VSM) and then a low-dimensional space is reconstructed by ...

Approximation of conservative fields and the element `edge shape matrix'

Tsukerman, I. Magnetics, IEEE Transactions on, 1998

The accuracy of finite element approximation on tetrahedral elements is studied using the previously derived maximum eigenvalue condition. This condition is linked with the minimum singular value of the element `edge shape matrix' that characterizes the flatness of an element. A geometric interpretation of these results is discussed. From the theoretical viewpoint, a better insight into the mechanism of approximation ...

Analysis of linear prediction by matrix approximation

Kot, A.C.; Tufts, D.W.; Vaccaro, R.J. Signal Processing, IEEE Transactions on, 1993

The authors present a new method of analysis of the effects of data perturbations on the estimates of signal parameters which are obtained by the method of linear prediction. The variances of signal-parameter obtained from linear prediction methods are computed. Although the results appear to have wide applicability, for simplicity the authors restrict their examples to signals which are linear ...

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