Singular value decomposition

View this topic in
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)






Conferences related to Singular value decomposition

Back to Top

2019 URSI International Symposium on Electromagnetic Theory (EMTS)

The interest of Commission B is fields and waves, encompassing theory, analysis, computation, experiments, validation and applications. Areas of emphasis are 1) Time-domain and frequency-domain phenomena, 2) Scattering and diffraction, 3) General propagation including waves in specialised media, 4) Guided waves, 5) Antennas and radiation, and 6) Inverse scattering and imaging.The Commission fosters the creation, development, and refinement of analytical, numerical, and measurement techniques to understand these phenomena. It encourages innovation and seeks to apply interdisciplinary concepts and methods.


2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


2018 9th International Particle Accelerator Conference (IPAC)

Topics cover a complete survey of the field of charged particle accelerator science and technology and infrastructure.


More Conferences

Periodicals related to Singular value decomposition

Back to Top

Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


More Periodicals

Most published Xplore authors for Singular value decomposition

Back to Top

Xplore Articles related to Singular value decomposition

Back to Top

High temporal resolution estimators through reduced rank periodograms

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., Villanova Univ., PA, USA', u'full_name': u'M. G. Amin'}] International Conference on Acoustics, Speech, and Signal Processing, None

The kernel associated with positive estimators including the periodograms is expressed as a linear combination of separable kernels, each defining a smoothed pseudo-Wigner distribution (SPWD). This is achieved by applying the singular value decomposition to the two-dimensional kernel matrix in time and lag variables. The SPWD corresponding to the maximum singular value is considered the rank one kernel estimator that ...


Face Recognition Based on Projected Color Space With Lighting Compensation

[{u'author_order': 1, u'affiliation': u'Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, R.O.C.', u'full_name': u'Jing-Wein Wang'}, {u'author_order': 2, u'affiliation': u'Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, R.O.C.', u'full_name': u'Jiann-Shu Lee'}, {u'author_order': 3, u'affiliation': u'Department of Electronic Engineering, National Chin-Yi University of Technology, Taiping City, Taiwan, R.O.C.', u'full_name': u'Wen-Yuan Chen'}] IEEE Signal Processing Letters, 2011

In this letter, we propose a novel color space conversion method called adaptive projection color space (APCS). This method includes two portions: adaptive singular value decomposition and an inner product conversion algorithm for color images. We employed images from the Color FERET and CMU- PIE databases for training and experiment. The results revealed that the recognition rates from our proposed ...


A specular approach to MIMO frequency-selective channel tracking and prediction

[{u'author_order': 1, u'affiliation': u'Mobile Commun. Dept., Eurecom Inst., Sophia Antipolis, France', u'full_name': u'M. Guillaud'}, {u'author_order': 2, u'affiliation': u'Mobile Commun. Dept., Eurecom Inst., Sophia Antipolis, France', u'full_name': u'D. T. M. Slock'}] IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, 2004., None

We propose a specular approach to MIMO channel tracking that yields a parsimonious channel representation where the time and space components of the channel variations are separated by singular value decomposition (SVD). We show that this separation enables simple short-term channel prediction. This is especially useful for systems using channel state information at the transmitter, since the latency necessary to ...


A combinational adaptive Noise Canceller using filter bank

[{u'author_order': 1, u'affiliation': u'Department of Electrical and Computer Engineering, Shahid Beheshti University, Iran', u'full_name': u'Ali Ameri Mahabadi'}, {u'author_order': 2, u'affiliation': u'Department of Electrical Engineering, Sharif University of Technology, Iran', u'full_name': u'Seyed Amir Hejazi'}, {u'author_order': 3, u'affiliation': u'Department of Electrical Engineering, Sharif University of Technology, Iran', u'full_name': u'Mohammad A. Akhaee'}, {u'author_order': 4, u'affiliation': u'Department of Electrical and Computer Engineering, Shahid Beheshti University, Iran', u'full_name': u'Mohammad Eshghi'}] 2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis, None

This paper proposes a novel combinational adaptive noise canceller (ANC), which is suitable for non stationary noise environments. Pre-filter bank structure improves the convergence rate leading to less error in real-time applications. During our investigations, we have found out adaptive algorithms have better performance for low frequency subbands. Thus, by using singular value decomposition (SVD) in each subband, a simplified ...


Image enhancement for hand sign detection

[{u'author_order': 1, u'affiliation': u'Institute of Photonics and Communications, National kohsiung University of Applied Sciences, Kaohsing, Taiwan', u'full_name': u'Jing-Wein Wang'}, {u'author_order': 2, u'affiliation': u'Computer Science and Information Engineering, Taipei Chengshih University of Science and Technology, Taiwan', u'full_name': u'Tzu-Hsiung Chen'}, {u'author_order': 3, u'affiliation': u'Electronic Department, National kohsiung University of Applied Sciences, Kaohsing, Taiwan', u'full_name': u'Tsong-Yi Chen'}] 2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP), None

This paper proposes compact hand extraction to assist in computerized handshape recognition. We devised an image enhancement technique based on singular value decomposition to remove dark backgrounds by reserving the skin color pixels of a hand image. The polynomial approximation YCbCr color model was then used to extract the hand. After alignment, we applied illumination compensation to the adaptable singular ...


More Xplore Articles

Educational Resources on Singular value decomposition

Back to Top

eLearning

No eLearning Articles are currently tagged "Singular value decomposition"

IEEE-USA E-Books

  • The Singular Value Decomposition

    The kind of method of moments (MoM) used in this chapter is based on point matching in both spatial and frequency domains. The singular value decomposition (SVD) of a rectangular matrix is introduced in the chapter as an extension of the basic theory of the eigenvalues and eigenvectors of a square matrix. So, preliminarily, some reminders about the eigenvalues and eigenvectors are provided in relationship to matrix inversions. The problem of solving rectangular linear algebraic systems can be dealt with in a regularized way, which requires an extension of the eigenvalue theory; this extension is the SVD. The SVD provides not only a method for the solution of the problem but also a possible method for the analysis the problem. In particular, even if numerically, the SVD can help us to understand the characteristics of the scattering operator.

  • Some Linear Algebra Fundamentals

    This chapter contains sections titled: * Notations and Definitions * Operators and Functions * Norms * Decompositions * Moore-Penrose Pseudoinverse * Idempotent Matrices * Kronecker Algebra * Isomorphism between Complex and Real Matrices * Derivatives * Inner Product * Gram-Schmidt Orthogonalization * Calculating the Roots of Polynomials * Sensitivity of the Least Squares Solution * Exercises * Appendix



Standards related to Singular value decomposition

Back to Top

No standards are currently tagged "Singular value decomposition"


Jobs related to Singular value decomposition

Back to Top