Conferences related to Matrices

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ICC 2015 - 2015 IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; London is to host this conference in 2015. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicise themselves and their products among the leaders of communications industries from all over the world.

  • ICC 2014 - 2014 IEEE International Conference on Communications

    The International Conference on Communications (ICC) is one of the two flagship conferences of the IEEE Communications Society, together with IEEE Globecom. Each year the ICC conference attracts about 2-3.000 submitted scientific papers, a technical program committee involving about 1.500 experts provides more than 10.000 reviews, the conference being finally attended by 1.500 - 2.000 professionals from all around the world. IEEE ICC is therefore one of the most significant scientific events of the networking and communications community, a must-attend forum for both industrials and academics working in this area.

  • ICC 2013 - 2013 IEEE International Conference on Communications

    A full programs of technical and professional activities spanning the entire range of hot topics in voice, data, image, quality of service, home networking, signal processing, wireless, optical, and multimedia communications

  • ICC 2012 - 2012 IEEE International Conference on Communications

    Full programs of technical and professional activities spanning the entire range of hot topics in voice, data, image, quality of service, home networking, signal processing, wireless, optical, and multimedia communications

  • ICC 2011 - 2011 IEEE International Conference on Communications

    A full programs of technical and professional activities spanning the entire range of hot topics in voice, data, image, quality of service, home networking, signal processing, wireless, optical, and multimedia communications.

  • ICC 2010 - 2010 IEEE International Conference on Communications

    Telecommunications

  • ICC 2009 - 2009 IEEE International Conference on Communications

  • ICC 2008 - 2008 IEEE International Conference on Communications

  • ICC 2007 - 2007 IEEE International Conference on Communications


2014 IEEE Information Theory Workshop (ITW)

ITW2014 is a forum for technical exchange among scientists and engineers working on the fundamentals of information theory. The agenda is broad and will cover the diverse topics that information theory presently impacts. There will be both invited and contributed sessions.

  • 2012 IEEE Information Theory Workshop (ITW 2012)

    The past decade has seen an exponential increase in the data stored in distributed locations in various forms including corporate & personal data, multimedia, and medical data in repositories. The grand challenge is to store, process and transfer this massive amount of data, efficiently and securely over heterogeneous communication networks.

  • 2010 IEEE Information Theory Workshop (ITW 2010)

    Algebraic Methods in Communications Technology

  • 2009 IEEE Information Theory Workshop (ITW 2009)

    Covers the most relevant topics in Information Theory and Coding Theory of interest to the most recent applications to wireless networks, sensor networks, and biology


2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization (ICSEM)

The conference will provide an idea-exchange and discussion platform focuses on the science and technology that are the basis for the system science, engineering design and manufacturing informatization.Topics will range from the theories to the practice methods and technology, such as complex system modeling and complexity, control theory, industrial design, cybernetics, modeling and simulation methods, e-commerce and computer-aided manufacturing etc.


2010 49th IEEE Conference on Decision and Control (CDC)

Theory and applications of control theory and control systems technology


2010 International Conference on E-Product E-Service and E-Entertainment (ICEEE 2010)

ICEEE is a distinguished forum for advances in research and technologies that drive innovation in E-Product, E-Service and E-Entertainment and their applications. At ICEEE, academics and practitioners gather to discuss challenges and achievements from diverse perspectives, in a comfortable and effective single track conference format.


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Periodicals related to Matrices

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Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Information Theory, IEEE Transactions on

The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.


Signal Processing Letters, IEEE

Rapid dissemination of new results in signal processing world-wide.


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.



Most published Xplore authors for Matrices

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Xplore Articles related to Matrices

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Fast group sparse classification

Angshul Majumdar; Rabab K. Ward Canadian Journal of Electrical and Computer Engineering, 2009

A recent work proposed a novel Group Sparse Classifier (GSC) that was based on the assumption that the training samples of a particular class approximately form a linear basis for any test sample belonging to that class. The Group Sparse Classifier requires solving an NP hard group-sparsity promoting optimization problem. Thus a convex relaxation of the optimization problem was proposed. ...


A Fast Watermarking Algorithm for Image Authentication

Jian-Ping Huang 2008 International Conference on Cyberworlds, 2008

Digital watermarking technique provides an effective way to protect the image. A novel watermarking authentication algorithm based on ridge let transform is proposed in this paper. Compared with traditional algorithm, it is not only easy and fast, but can distinguish the distortions caused by common image processing with the malicious tempering. Experimental results show that the proposed algorithm is sensitive ...


K nearest neighbor classifier over secured perturbed data

R. Mynavathi; V. Bhuvaneswari; T. Karthikeyan; C. Kavina 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), 2016

Privacy Preserving Data Mining has gained very specific area of interest for researchers due to the impact of various security issues. With the voluminous growth of data, threat to individual's private information also grows. Developing useful data mining models without accessing private information has become a major concern. Many studies on data perturbation techniques for protecting sensitive data focus on ...


Absolute stability of Lur'e systems: A complementarity and passivity approach

Raffaele Iervolino; Luigi Iannelli; Francesco Vasca 49th IEEE Conference on Decision and Control (CDC), 2010

The stability problem of Lur'e systems composed by a dynamical linear time invariant system closed in feedback through a static piecewise linear mapping is considered. By exploiting complementarity representations of piecewise linear characteristics, generalized sector conditions expressed in terms of constrained relations are established. The proposed form is shown to be suitable for getting sector conditions of multi-input multi-output coupled ...


Analysis of loop strategies in robot soccer game

Jie Wu; Eliška Ochodková; Jan Martinovič; Václav Snášel; Ajith Abraham 2011 11th International Conference on Intelligent Systems Design and Applications, 2011

Strategy is a kernel subsystem of the robot soccer game. According to the strategy description in our work, there are loop strategies which are likely to get robots in a trap of executing repeated actions. In this paper, we propose method using eigenvalues to judge the existence of loop strategies in our rules set. We present the concept of condition-decision ...


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Educational Resources on Matrices

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eLearning

Fast group sparse classification

Angshul Majumdar; Rabab K. Ward Canadian Journal of Electrical and Computer Engineering, 2009

A recent work proposed a novel Group Sparse Classifier (GSC) that was based on the assumption that the training samples of a particular class approximately form a linear basis for any test sample belonging to that class. The Group Sparse Classifier requires solving an NP hard group-sparsity promoting optimization problem. Thus a convex relaxation of the optimization problem was proposed. ...


A Fast Watermarking Algorithm for Image Authentication

Jian-Ping Huang 2008 International Conference on Cyberworlds, 2008

Digital watermarking technique provides an effective way to protect the image. A novel watermarking authentication algorithm based on ridge let transform is proposed in this paper. Compared with traditional algorithm, it is not only easy and fast, but can distinguish the distortions caused by common image processing with the malicious tempering. Experimental results show that the proposed algorithm is sensitive ...


K nearest neighbor classifier over secured perturbed data

R. Mynavathi; V. Bhuvaneswari; T. Karthikeyan; C. Kavina 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), 2016

Privacy Preserving Data Mining has gained very specific area of interest for researchers due to the impact of various security issues. With the voluminous growth of data, threat to individual's private information also grows. Developing useful data mining models without accessing private information has become a major concern. Many studies on data perturbation techniques for protecting sensitive data focus on ...


Absolute stability of Lur'e systems: A complementarity and passivity approach

Raffaele Iervolino; Luigi Iannelli; Francesco Vasca 49th IEEE Conference on Decision and Control (CDC), 2010

The stability problem of Lur'e systems composed by a dynamical linear time invariant system closed in feedback through a static piecewise linear mapping is considered. By exploiting complementarity representations of piecewise linear characteristics, generalized sector conditions expressed in terms of constrained relations are established. The proposed form is shown to be suitable for getting sector conditions of multi-input multi-output coupled ...


Analysis of loop strategies in robot soccer game

Jie Wu; Eliška Ochodková; Jan Martinovič; Václav Snášel; Ajith Abraham 2011 11th International Conference on Intelligent Systems Design and Applications, 2011

Strategy is a kernel subsystem of the robot soccer game. According to the strategy description in our work, there are loop strategies which are likely to get robots in a trap of executing repeated actions. In this paper, we propose method using eigenvalues to judge the existence of loop strategies in our rules set. We present the concept of condition-decision ...


More eLearning Resources

IEEE-USA E-Books

  • No title

    Immediately following the Second World War, between 1947 and 1955, several classic papers quantified the fundamentals of human speech information processing and recognition. In 1947 French and Steinberg published their classic study on the articulation index. In 1948 Claude Shannon published his famous work on the theory of information. In 1950 Fletcher and Galt published their theory of the articulation index, a theory that Fletcher had worked on for 30 years, which integrated his classic works on loudness and speech perception with models of speech intelligibility. In 1951 George Miller then wrote the first book Language and Communication, analyzing human speech communication with Claude Shannon's just published theory of information. Finally in 1955 George Miller published the first extensive analysis of phone decoding, in the form of confusion matrices, as a function of the speech-to- noise ratio. This work extended the Bell Labs' speech articulation studies with ideas from Shann n's Information theory. Both Miller and Fletcher showed that speech, as a code, is incredibly robust to mangling distortions of filtering and noise. Regrettably much of this early work was forgotten. While the key science of information theory blossomed, other than the work of George Miller, it was rarely applied to aural speech research. The robustness of speech, which is the most amazing thing about the speech code, has rarely been studied. It is my belief (i.e., assumption) that we can analyze speech intelligibility with the scientific method. The quantitative analysis of speech intelligibility requires both science and art. The scientific component requires an error analysis of spoken communication, which depends critically on the use of statistics, information theory, and psychophysical methods. The artistic component depends on knowing how to restrict the problem in such a way that progress may be made. It is critical to tease out the relevant from the irrelevant and dig for th key issues. This will focus us on the decoding of nonsense phonemes with no visual component, which have been mangled by filtering and noise. This monograph is a summary and theory of human speech recognition. It builds on and integrates the work of Fletcher, Miller, and Shannon. The long-term goal is to develop a quantitative theory for predicting the recognition of speech sounds. In Chapter 2 the theory is developed for maximum entropy (MaxEnt) speech sounds, also called nonsense speech. In Chapter 3, context is factored in. The book is largely reflective, and quantitative, with a secondary goal of providing an historical context, along with the many deep insights found in these early works.

  • Approaches to High-Dimensional Covariance and Precision Matrix Estimations

    This chapter introduces several recent developments for estimating large covariance and precision matrices without assuming the covariance matrix to be sparse. It explains two methods for covariance estimation: namely covariance estimation via factor analysis, and precision Matrix Estimation and Graphical Models. The low rank plus sparse representation holds on the population covariance matrix. The chapter presents several applications of these methods, including graph estimation for gene expression data, and several financial applications. It then shows how estimating covariance matrices of high- dimensional asset excess returns play a central role in applications of portfolio allocations and in risk management. The chapter explains the factor pricing model, which is one of the most fundamental results in finance. It elucidates estimating risks of large portfolios and large panel test of factor pricing models. The chapter illustrates the recent developments of efficient estimations in panel data models.

  • Logistic Regression for Single Trial EEG Classification

    We propose a novel framework for the classification of single trial ElectroEncephaloGraphy (EEG), based on regularized logistic regression. Framed in this robust statistical framework no prior feature extraction or outlier removal is required. We present two variations of parameterizing the regression function: (a) with a full rank symmetric matrix coefficient and (b) as a difference of two rank=1 matrices. In the first case, the problem is convex and the logistic regression is optimal under a generative model. The latter case is shown to be related to the Common Spatial Pattern (CSP) algorithm, which is a popular technique in Brain Computer Interfacing. The regression coefficients can also be topographically mapped onto the scalp similarly to CSP projections, which allows neuro-physiological interpretation. Simulations on 162 BCI datasets demonstrate that classification accuracy and robustness compares favorably against conventional CSP based classifiers.

  • Impedance Matrix of Junction Circulator

    This chapter contains sections titled: Introduction Impedance Matrix of Junction Circulator Eigenvalues of Immittance Matrices Complex Gyrator Immittance of Three-Port Circulator Synthesis of Junction Circulators Using Resonant In-Phase Eigen-Network Equivalent Circuit of Three-Port Circulator Quality Factor of Junction Circulator Degenerate Counterrotating Eigen-Network (s1) In-Phase Eigen-Network Split Eigen-Networks of Junction Circulator Gyrator Conductance of Circulator The Gyrator Network

  • Particle Filtering for Nonparametric Bayesian Matrix Factorization

    Many unsupervised learning problems can be expressed as a form of matrix factorization, reconstructing an observed data matrix as the product of two matrices of latent variables. A standard challenge in solving these problems is determining the dimensionality of the latent matrices. Nonparametric Bayesian matrix factorization is one way of dealing with this challenge, yielding a posterior distribution over possible factorizations of unbounded dimensionality. A drawback to this approach is that posterior estimation is typically done using Gibbs sampling, which can be slow for large problems and when conjugate priors cannot be used. As an alternative, we present a particle filter for posterior estimation in nonparametric Bayesian matrix factorization models. We illustrate this approach with two matrix factorization models and show favorable performance relative to Gibbs sampling.

  • Focusing and Imaging Properties of Lenses: Ray Optical Viewpoint

    This chapter contains sections titled: General Properties of Optical Imaging Instruments: Maxwell's Theorem and the Sine and Cosine Conditions Focusing and Imaging by Curved Dielectric Interfaces Focusing and Imaging by Thin Lenses Focusing and Imaging by Thick Lenses Ray-Tracing Analysis of Thin Lenses Caustics and Focal Surfaces Transformation Matrices Introduction to Multiple-Lens Imaging Systems General Summary on Ray-Tracing Techniques References

  • Aspects of Numerical Analysis

    This chapter contains sections titled: Interpolation and approximation Solution of equations Matrices Linear equations Generalized inverse

  • ANALYSIS OF ELECTRICAL CIRCUITS WITH MESH AND NODAL ANALYSIS

    Network topology is a branch of electrical circuit theory concerned with equations and theorems required to completely describe an electrical system. When a circuit is described by their mesh or nodal analysis, a linear system equation will have to be solved either by hand or by numerical analysis, such as Ax???=???y, where y is a vector, A is a square matrix, and x is a vector. This chapter presents an overview of circuit analysis using MATLAB for solving numerically an electrical circuit and also PSIM to find their voltages and currents using a circuit simulation. In order to solve matrix equations, one need to specify whether a pre??? or post multiplication has to be done, because matrices do not obey the commutative law. A general procedure for using a nodal analysis method to solve electric circuit problems supports a matrix system by applying Kirchhoff's current law (KCL) at the major nodes in an electric circuit.

  • Index

    A brilliant instruction set for achieving CMM® and CMMI® Level 2 requirementsMany organizations, in their push to complete a successful Level 2 CMM or CMMI appraisal, make sizable investments to develop and document their software processes. This book helps these organizations save both time and money while skillfully moving from the chaos of a free-form software development process to one that is controlled, documented, and repeatable. Specifically, the author demonstrates how the application of select IEEE Software Engineering Standards ensures the production of higher quality, reproducible software products.Although the CMM and CMMI set forth standards in six Key Process Areas (KPAs) that must be satisfied to achieve Level 2 accreditation, they do not provide guidance on how to reach these standards. Readers will discover why that role should fall to the IEEE Software Engineering Standards, which, when applied effectively, can be used to develop best practices and fulfill the requirements associated with effective software project management. This book provides the link between Level 2 requirements and the supporting items available in the IEEE Software Engineering Standards. Using the detailed matrices that the author has designed to map Level 2 requirements to IEEE Software Engineering Standards, readers can better understand and meet the criteria set forth in all six KPAs.Everything needed to meet Level 2 requirements is provided: Introduction and overview Summary of SW-CMM Summary of CMMI-SW (Staged) Differences between CMM and CMMI-SW (Staged) IEEE Software Engineering StandardsTechnical terminology for each phase of a CMM and a CMMI-SW model is explained in simple language making them easy to understand. For organizations that do n ot wish to pursue Level 2 accreditation, the book is still an essential resource that provides practical guidance for developing sound software engineering practices. This book is recommended for all software engineers, project managers, and auditors.

  • Scattering Matrices of Junction Circulators with Chebyshev Characteristics

    This chapter contains sections titled: Introduction Eigenvalues of the Scattering Matrix Eigenvalues of Augmented Scattering Matrix Circulation Adjustment Quarter-Wave Coupled-Below-Resonance Stripline Circulator Frequency Variation of Quarter-Wave Coupled Circulator Frequency Response of Quarter-Wave Coupled Circulator with Capacitive Tuning



Standards related to Matrices

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No standards are currently tagged "Matrices"