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Back to TopICC 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 1,5002,000 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.
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.
The conference will provide an ideaexchange 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, ecommerce and computeraided manufacturing etc.
2010 International Conference on EProduct EService and EEntertainment (ICEEE 2010)
ICEEE is a distinguished forum for advances in research and technologies that drive innovation in EProduct, EService and EEntertainment 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.
Periodicals related to Matrices
Back to TopInformation 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 informationbearing signals; and the development of informationtheoretic 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 worldwide.
Signal Processing, IEEE Transactions on
The technology of transmission, recording, reproduction, processing, and measurement of speech; other audiofrequency 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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Back to TopComputer aided teaching of energy band theory in solids
A. M. Cruz Serra; H. Abreu Santos AFRICON '92 Proceedings., 3rd AFRICON Conference, 1992
The formation of energy bands in crystals is a consequence of the periodicity of the lattice potential. By numerically solving the timeindependent Schrodinger equation for a structure of repetitive potential wells, the authors show how bands are formed and how Brillouin zones can easily be obtained. By introducing a perturbation in the wells, they also get insight into polycrystalline solids ...
A rapid modeling for analysis the effect of transmission line to oil and gas pipeline
Wenzhe Mu; ZHibin Zhao; Yongmei Zhu; Xiaozhou Lei 2016 AsiaPacific International Symposium on Electromagnetic Compatibility (APEMC), 2016
High voltage AC transmission line will have influence on the oil and gas pipeline through the electromagnetic field. To research the electromagnetic field, a model of transmission line and pipe is urgently required. The main research of this work is to simplify the procedure of the modeling and analyze the impact of transmission's electromagnetic field to the pipe.
Some Further Results on Optimal Scaling
Sandip Roy; Ali Saberi Proceedings of the 45th IEEE Conference on Decision and Control, 2006
We present some new results on optimal scaling  i.e., the design of a diagonal matrix K so as optimize the product KG, G isin Rntimesn, with respect to a performance measure. In particular, we extend our previous work on optimizing the dominant eigenvalue ratio to three other performance measures: 1) the condition number, 2) the ratio of the minimum ...
Zhengjun Cao; Lihua Liu IEEE Transactions on Parallel and Distributed Systems, 2016
We remark that the Wang et al.'s scheme [IEEE Transanction Parallel Distributed Systems, 24 (6), 11721181, 2013] fails because the involved homomorphic encryption system is invalid in the context of the scheme. This is due to that the general arithmetic over the field $mathbb {R}$ (the outsourced linear equations are constrained to the field) is not compatible with the modular ...
A novel KnowledgeAided STAP using azimuth sublook SAR image
Sudan Han; Chongyi Fan; Xiaotao Huang; Guofu Zhu; Zhimin Zhou 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2014
This paper proposes a novel KnowledgeAided SpaceTime Adaptive Processing (KASTAP) approach which uses azimuth sublook Synthetic Aperture Radar (SAR) images to improve the interference covariance matrix estimation. The proposed approach extracts the azimuth scattering information of ground clutter scatters from the azimuth sublook SAR images and improves the interference covariance matrix estimation by using the azimuth scattering characteristics of heterogeneous ...
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Educational Resources on Matrices
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Computer aided teaching of energy band theory in solids
A. M. Cruz Serra; H. Abreu Santos AFRICON '92 Proceedings., 3rd AFRICON Conference, 1992
The formation of energy bands in crystals is a consequence of the periodicity of the lattice potential. By numerically solving the timeindependent Schrodinger equation for a structure of repetitive potential wells, the authors show how bands are formed and how Brillouin zones can easily be obtained. By introducing a perturbation in the wells, they also get insight into polycrystalline solids ...
A rapid modeling for analysis the effect of transmission line to oil and gas pipeline
Wenzhe Mu; ZHibin Zhao; Yongmei Zhu; Xiaozhou Lei 2016 AsiaPacific International Symposium on Electromagnetic Compatibility (APEMC), 2016
High voltage AC transmission line will have influence on the oil and gas pipeline through the electromagnetic field. To research the electromagnetic field, a model of transmission line and pipe is urgently required. The main research of this work is to simplify the procedure of the modeling and analyze the impact of transmission's electromagnetic field to the pipe.
Some Further Results on Optimal Scaling
Sandip Roy; Ali Saberi Proceedings of the 45th IEEE Conference on Decision and Control, 2006
We present some new results on optimal scaling  i.e., the design of a diagonal matrix K so as optimize the product KG, G isin Rntimesn, with respect to a performance measure. In particular, we extend our previous work on optimizing the dominant eigenvalue ratio to three other performance measures: 1) the condition number, 2) the ratio of the minimum ...
Zhengjun Cao; Lihua Liu IEEE Transactions on Parallel and Distributed Systems, 2016
We remark that the Wang et al.'s scheme [IEEE Transanction Parallel Distributed Systems, 24 (6), 11721181, 2013] fails because the involved homomorphic encryption system is invalid in the context of the scheme. This is due to that the general arithmetic over the field $mathbb {R}$ (the outsourced linear equations are constrained to the field) is not compatible with the modular ...
A novel KnowledgeAided STAP using azimuth sublook SAR image
Sudan Han; Chongyi Fan; Xiaotao Huang; Guofu Zhu; Zhimin Zhou 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2014
This paper proposes a novel KnowledgeAided SpaceTime Adaptive Processing (KASTAP) approach which uses azimuth sublook Synthetic Aperture Radar (SAR) images to improve the interference covariance matrix estimation. The proposed approach extracts the azimuth scattering information of ground clutter scatters from the azimuth sublook SAR images and improves the interference covariance matrix estimation by using the azimuth scattering characteristics of heterogeneous ...
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This chapter contains sections titled: Introduction, Sequential And Functional Programming, FirstClass Data Aggregates, Adding Matrices In Logo, Why Is Recursion Hard?, Functional Programming Without Recursion, Avoiding Recursion In Logo, Templates, More Functional Programming Tools, Some Problems Really Are Recursive, Continuing Development, Teaching Experience, Appendix: The Implementation, References

This book introduces the socalled "stable factorization approach" to the synthesis of feedback controllers for linear control systems. The key to this approach is to view the multiinput, multioutput (MIMO) plant for which one wishes to design a controller as a matrix over the fraction field F associated with a commutative ring with identity, denoted by R, which also has no divisors of zero. In this setting, the set of singleinput, singleoutput (SISO) stable control systems is precisely the ring R, while the set of stable MIMO control systems is the set of matrices whose elements all belong to R. The set of unstable, meaning not necessarily stable, control systems is then taken to be the field of fractions F associated with R in the SISO case, and the set of matrices with elements in F in the MIMO case. The central notion introduced in the book is that, in most situations of practical interest, every matrix P whose elements belong to F can be "factored" as a "ratio" of two matrice N,D whose elements belong to R, in such a way that N,D are coprime. In the familiar case where the ring R corresponds to the set of boundedinput, boundedoutput (BIBO)stable rational transfer functions, coprimeness is equivalent to two functions not having any common zeros in the closed right halfplane including infinity. However, the notion of coprimeness extends readily to discretetime systems, distributedparameter systems in both the continuous as well as discretetime domains, and to multi dimensional systems. Thus the stable factorization approach enables one to capture all these situations within a common framework. The key result in the stable factorization approach is the parametrization of all controllers that stabilize a given plant. It is shown that the set of all stabilizing controllers can be parametrized by a single parameter R, whose elements all belong to R. Moreover, every transfer matrix in the closedloop system is an affine function of the design parameter R Thus problems of reliable stabilization, disturbance rejection, robust stabilization etc. can all be formulated in terms of choosing an appropriate R. This is a reprint of the book Control System Synthesis: A Factorization Approach originally published by M.I.T. Press in 1985.

This chapter contains sections titled: Position and Orientation of Objects, Coordinate Transformation, Joint Variables and Position of End Effector, Inverse Kinematics Problem, Jacobian Matrix, Statics and Jacobian Matrices, Exercises, References

Quaternions and Pauli Matrices
This chapter contains sections titled: Hamilton Quaternions, Pauli Quaternions, Pauli Matrices

Grey System: Thinking, Methods, and Models with Applications
In terms of grey system theory, it is a new methodology that focuses on the problems involving small samples and poor information. It deals with uncertain systems with partially known information through generating, excavating, and extracting useful information from what is available. The theory focuses on the generation and excavation of the partially known information to materialize the accurate description and understanding of the material world. Grey incidence analysis provides a new method to analyze systems when conventional methods do not seem appropriate. Grey clustering is developed for classifying observation indices or objects into definable classes using grey incidence matrices or grey whitenization weight functions. Prediction is foretelling the possible future development of societal events, political matters, economic ups and downs, so on, using scientific methods and techniques based on attainable historical and present information such that appropriate actions can be planned and carried out.

This chapter contains sections titled: 3.1 Hilbert Spaces, 3.2 Products and Tensor Products, 3.3 Matrices, 3.4 Complex Spaces and Inner Products, 3.5 Matrices, Graphs, and Sums Over Paths, 3.6 Problems, 3.7 Summary and Notes

This text offers an introduction to quantum computing, with a special emphasis on basic quantum physics, experiment, and quantum devices. Unlike many other texts, which tend to emphasize algorithms, Quantum Computing without Magic explains the requisite quantum physics in some depth, and then explains the devices themselves. It is a book for readers who, having already encountered quantum algorithms, may ask, "Yes, I can see how the algebra does the trick, but how can we actually do it?" By explaining the details in the context of the topics covered, this book strips the subject of the "magic" with which it is so often cloaked. Quantum Computing without Magic covers the essential probability calculus; the qubit, its physics, manipulation and measurement, and how it can be implemented using superconducting electronics; quaternions and density operator formalism; unitary formalism and its application to Berry phase manipulation; the biqubit, the mysteries of entanglement, nonlocality, separability, biqubit classification, and the Schroedinger's Cat paradox; the controlledNOT gate, its applications and implementations; and classical analogs of quantum devices and quantum processes. Quantum Computing without Magic can be used as a complementary text for physics and electronic engineering undergraduates studying quantum computing and basic quantum mechanics, or as an introduction and guide for electronic engineers, mathematicians, computer scientists, or scholars in these fields who are interested in quantum computing and how it might fit into their research programs.

This chapter deals with the operations of different variable types such as scalar variables, complex numbers, vectors and matrices. It also deals with the plotting commands that are frequently used. In the symbolic math in MATLAB, the characters (or words) such as a, b, and temp are treated as symbolic variables, not numeric variables. Mathematical expressions can be computed or manipulated in symbolic forms. The commands and functions are all executable directly in the command window. Using a script file, which is also called an mfile in the earlier versions of MATLAB, users can execute various algorithms or can implement userdefined functions. Similar to many other programming languages, MATLAB also supports the use of userdefined functions to avoid repeatedly editing the main body of a code. The subsystem can be saved as a userdefined block to enrich the library Simulink.

Fundamentals of Matrix Algebra
This chapter contains sections titled: Scalars, Vectors, and Matrices Operations on Matrices Linear Dependence and Independence Vector Spaces Linear Transformations Eigenvalues and Eigenvectors Linear Equations Vector and Matrix Norms Condition Number Solved Problems Conclusions Exercise Problems

This chapter contains sections titled: Unpacking Pauli Quaternions, Pauli Matrices, The Basis Vectors and the Hilbert Space, The Superstition of Superposition, Probability Amplitudes, Spinors, Operators and Operands, Properties of the Density Operator, Schrodinger Equation, Single Qubit Gates, Taking Qubits for a Ride
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