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. (Wikipedia.org)






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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.




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CORDIC and SVD implementation in digital hardware

Szecowka, P.M.; Malinowski, P. Mixed Design of Integrated Circuits and Systems (MIXDES), 2010 Proceedings of the 17th International Conference, 2010

Singular Value Decomposition is classified among the most effective numeric methods of matrices inversion. The paper presents a study of hardware implementation of SVD and CORDIC algorithms. Various digital architectures were proposed and compared, including low-cost sequential and high-performance pipelined solutions. Fixed point and floating point arithmetic was considered. The concepts were implemented in VHDL, verified and synthesized with Xilinx ...


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 ...


Decimated time-frequency distributions

O'Hair, J.R.; Suter, B.W. Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on, 1994

The decimated generalized discrete time-frequency distribution (D-GDTFD) was introduced by O'Hair and Suter (see IEEE International Conference on Circuits and Systems, London, U.K., 30 May-2 June 1994). It trades bandwidth for speed of implementation and requires greatly reduced storage over the generalized discrete time-frequency distribution (GDTFD). A new formulation for the D-GDTFD is presented which is based upon the singular ...


Iterative MIMO channel SVD estimation

Zamiri-Jafarian, H.; Gulak, G. Communications, 2005. ICC 2005. 2005 IEEE International Conference on, 2005

An iterative algorithm is proposed in this paper to estimate the singular value decomposition (SVD) of multiple-input multiple-output (MIMO) channel from the received signal. The proposed algorithm is based on the constrained minimum mean-square error (MMSE) criterion. For different numbers of transmitter and receiver antennas, simulation results show that the iterative algorithm achieves good performance with respect to the SVD ...


Blind uplink space-time channel estimation for space-time coded multicarrier code division multiple access systems

Yanxing Zeng; Qinye Yin; Le Ding; Ke Deng Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on, 2004

The uplink of a space-time coded multicarrier code division multiple access (MS-CDMA) system equipped with a uniform linear array (ULA) at the base station is investigated. Transmission takes place over frequency-selective fading channels and the goal is to blindly estimate the space-time channels and the directions of arrival (DOA) for all active users in one macrocell. An auxiliary matrix including ...


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CORDIC and SVD implementation in digital hardware

Szecowka, P.M.; Malinowski, P. Mixed Design of Integrated Circuits and Systems (MIXDES), 2010 Proceedings of the 17th International Conference, 2010

Singular Value Decomposition is classified among the most effective numeric methods of matrices inversion. The paper presents a study of hardware implementation of SVD and CORDIC algorithms. Various digital architectures were proposed and compared, including low-cost sequential and high-performance pipelined solutions. Fixed point and floating point arithmetic was considered. The concepts were implemented in VHDL, verified and synthesized with Xilinx ...


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 ...


Decimated time-frequency distributions

O'Hair, J.R.; Suter, B.W. Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on, 1994

The decimated generalized discrete time-frequency distribution (D-GDTFD) was introduced by O'Hair and Suter (see IEEE International Conference on Circuits and Systems, London, U.K., 30 May-2 June 1994). It trades bandwidth for speed of implementation and requires greatly reduced storage over the generalized discrete time-frequency distribution (GDTFD). A new formulation for the D-GDTFD is presented which is based upon the singular ...


Iterative MIMO channel SVD estimation

Zamiri-Jafarian, H.; Gulak, G. Communications, 2005. ICC 2005. 2005 IEEE International Conference on, 2005

An iterative algorithm is proposed in this paper to estimate the singular value decomposition (SVD) of multiple-input multiple-output (MIMO) channel from the received signal. The proposed algorithm is based on the constrained minimum mean-square error (MMSE) criterion. For different numbers of transmitter and receiver antennas, simulation results show that the iterative algorithm achieves good performance with respect to the SVD ...


Blind uplink space-time channel estimation for space-time coded multicarrier code division multiple access systems

Yanxing Zeng; Qinye Yin; Le Ding; Ke Deng Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on, 2004

The uplink of a space-time coded multicarrier code division multiple access (MS-CDMA) system equipped with a uniform linear array (ULA) at the base station is investigated. Transmission takes place over frequency-selective fading channels and the goal is to blindly estimate the space-time channels and the directions of arrival (DOA) for all active users in one macrocell. An auxiliary matrix including ...


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