Singular value decomposition
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Bioinformatics, Computational Biology, Biomedical Engineering
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.
Information, automation, and related areas.
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
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.
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.
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.
Aase, S.O.; Husoy, J.H.; Waldemar, P. Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on, 1999
During the past couple of decades several proposals for image coders using singular value decomposition (SVD) have been put forward. The results using SVD in this context have never been spectacular. The main problem with the SVD is that the transform itself must be transmitted as side information. We demonstrate through some simple experiments that for a given image reconstruction ...
Miew Keen Choong; Charbit, M.; Hong Yan Information Technology in Biomedicine, IEEE Transactions on, 2009
Missing value estimation is important in DNA microarray data analysis. A number of algorithms have been developed to solve this problem, but they have several limitations. Most existing algorithms are not able to deal with the situation where a particular time point (column) of the data is missing entirely. In this paper, we present an autoregressive-model-based missing value estimation method ...
Konstantinides, K.; Yao, K. Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84., 1984
We consider the evaluation of the order of a linear system transfer function represented as an AR or an ARMA model based on the use of the singular value decomposition technique for the efficient determination of the rank of a matrix. Inputs to the system are modeled as binary-valued random data and outputs of the system are observed in the ...
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 ...
Shuicheng Yan; Jianzhuang Liu; Xiaoou Tang; Huang, T.S. Image Processing, IEEE Transactions on, 2007
This paper presents a unified solution to three unsolved problems existing in face verification with subspace learning techniques: selection of verification threshold, automatic determination of subspace dimension, and deducing feature fusing weights. In contrast to previous algorithms which search for the projection matrix directly, our new algorithm investigates a similarity metric matrix (SMM). With a certain verification threshold, this matrix ...
Perahia, Eldad IEEE 802.11N Physical Layer, 2008
The IEEE802.11n standard will enable a new class of consumer and enterprise products utilizing wireless LAN connectivity that is ten times faster than is feasible with the current IEEE802.11a/b/g standards. This tutorial will provide a comprehensive overview of the Physical Layer (PHY) technology in the p802.11n draft standard. The course will begin with an overview of the applications, environments, channel ...
Perahia, Eldad IEEE Std 802.11n-2009 Standard with IEEE 802.11n Physical Layer eLearning Tutorial - Bundle, 2010
The IEEE 802.11n standard will enable a new class of consumer and enterprise products utilizing wireless LAN connectivity that is ten times faster than is feasible with the current IEEE802.11a/b/g standards. This tutorial will provide a comprehensive overview of the Physical Layer (PHY) technology in the p802.11n draft standard. The course will begin with an overview of the applications, environments, ...
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