Conferences related to Polynomials

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2017 13th IEEE Conference on Automation Science and Engineering (CASE 2017)

This is the flagship conference of IEEE RAS in Automation


2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

WiOpt 2017 welcomes original papers related to modeling, performance evaluation, and optimization of wireless networks. The scope covers all types of wireless networks: cellular, ad hoc, content-driven, delay-tolerant, mesh, metropolitan, sensor, cognitive, vehicular, robotic, Internet of Things, virtualized, etc. The focus is on issues at and above the MAC layer, although cross-layer techniques encompassing the physical layer are equally welcome. We encourage both theoretical contributions and submissions relating to real world empirical measurements, experimental studies.


2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

The 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS) will be held in Batumi, Georgia on December 5-8, 2017. As the flagship conference of IEEE Circuits and Systems Society in Region 8 of IEEE (Europe, Middle East, and Africa), ICECS 2017 will consist of tutorials, plenary lectures, regular, special and poster sessions focusing on recent trends, emerging technologies and advances in all aspects of:¿ Circuits ¿ Systems ¿ Signals ¿ Mathematical Methods ¿ Computational Methods ¿ Applications


2017 40th International Conference on Telecommunications and Signal Processing (TSP)

The TSP 2017 Conference is organized by fifteen universities from Czech Republic, Hungary, Turkey, Taiwan, Japan, Slovak Republic, Spain, Bulgaria, France, Slovenia, Croatia, and Poland, for academics, researchers, and developers and it serves as a premier annual international forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2016 39th International Conference on Telecommunications and Signal Processing (TSP)

    The 2016 39th International Conference on Telecommunications and Signal Processing (TSP) is organized for academics, researchers, and developers and it serves as a forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2015 38th International Conference on Telecommunications and Signal Processing (TSP)

    The 2015 38th International Conference on Telecommunications and Signal Processing (TSP) is organized for academics, researchers, and developers and it serves as a forum to promote the exchange of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors from the whole Europe, America, Asia, Australia, and Africa. The international expansion motivates the organizers in their effort to providing a platform for exchanging information and experience to help to improve the level and extent of scientific cooperation between university students, academics, and employees of research centers.

  • 2013 36th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2013 conference is organized for, but not limited to, young academics, researchers and developers from different branches of telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists and developers, to meet new colleagues, collect new ideas and establish new cooperation between research groups. The conference originally started as a Central European initiative but recently we have had participants from Universities and Research Centers from the whole Europe and also from Asia, America and Africa.

  • 2012 35th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2012 conference is organized for young academics, researchers and developers from different branches of telecommunication technology and signal processing.

  • 2011 34th International Conference on Telecommunications and Signal Processing (TSP)

    The TSP 2011 conference is organized for, but not limited to, young academics, researchers and developers from different branches of telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists and developers, to meet new colleagues, collect new ideas and establish new cooperation between research groups. The conference originally started as a Central European initiative but recently we have had participants from Universities and Research Centers from the whole Europe and also from Asia, America and Africa.


2017 American Control Conference (ACC)

Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.


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Periodicals related to Polynomials

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


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


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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.


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Xplore Articles related to Polynomials

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Algorithms for robust identification in H<sub>&infin;</sub> with nonuniformly spaced frequency response data

H. Akcay Proceedings of the 36th IEEE Conference on Decision and Control, 1997

In this paper, first a two-stage robustly convergent identification algorithm in H∞, for nonuniformly spaced data is proposed. The worst-case error of the algorithm converges to zero faster than polynomial rates in the noise-free case when the identified system is an exponentially stable discrete-time system. The algorithm is characterized by a rational interpolation step with fixed poles at 0 and ...


A Model Reduction Methord Based On Optimal Approximation To The Dominant Energy (multi-input Multi-output)

Hu Shousong; Hu Minghua Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754404.png)


Synthesis of reliable control systems

Z. Chen; T. Chang Proceedings of the 1997 American Control Conference (Cat. No.97CH36041), 1997

The problem of reliable control against arbitrary sensor and actuator failure is addressed. It is shown that, for a class of open loop stable, minimum phase systems, complete reliability can always be achieved through the use of a PIDr controller which induces a diagonal dominant condition in the DC gain of the transfer matrix while preserving the stability of the ...


Stochastic gradient based iterative identification algorithm for a class of dual-rate Wiener systems

Jing Leng; Junpeng Li; Changchun Hua; Xinping Guan 2014 International Joint Conference on Neural Networks (IJCNN), 2014

Parameter estimation problem is considered for a class of dual-rate Wiener systems whose input-output data are measured by two different sampling rate. Firstly, a polynomial transformation technique is used to derive a mathematical model for such dual-rate Wiener systems. Then, directly based on the dual-rate sampled data, a dual-rate Wiener systems stochastic gradient algorithm (DRW-SG) is presented. In order to ...


Research on tangent circular arc smooth Support Vector Machine (TCA-SSVM) algorithm

Yan-Feng Fan; De-Xian Zhang 2008 International Conference on Information and Automation, 2008

Data classification problem is a flourishing research field. Classification is the process of finding the common properties among different patterns and classifying them into classes. SVM (support vector machine) is one of classifier for solving binary classification problem. In traditional SVM solution algorithms, objective function is a strictly convex unconstrained optimization problem, but is un-differentiable due to plus function x+, ...


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Educational Resources on Polynomials

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eLearning

Algorithms for robust identification in H<sub>&infin;</sub> with nonuniformly spaced frequency response data

H. Akcay Proceedings of the 36th IEEE Conference on Decision and Control, 1997

In this paper, first a two-stage robustly convergent identification algorithm in H∞, for nonuniformly spaced data is proposed. The worst-case error of the algorithm converges to zero faster than polynomial rates in the noise-free case when the identified system is an exponentially stable discrete-time system. The algorithm is characterized by a rational interpolation step with fixed poles at 0 and ...


A Model Reduction Methord Based On Optimal Approximation To The Dominant Energy (multi-input Multi-output)

Hu Shousong; Hu Minghua Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754404.png)


Synthesis of reliable control systems

Z. Chen; T. Chang Proceedings of the 1997 American Control Conference (Cat. No.97CH36041), 1997

The problem of reliable control against arbitrary sensor and actuator failure is addressed. It is shown that, for a class of open loop stable, minimum phase systems, complete reliability can always be achieved through the use of a PIDr controller which induces a diagonal dominant condition in the DC gain of the transfer matrix while preserving the stability of the ...


Stochastic gradient based iterative identification algorithm for a class of dual-rate Wiener systems

Jing Leng; Junpeng Li; Changchun Hua; Xinping Guan 2014 International Joint Conference on Neural Networks (IJCNN), 2014

Parameter estimation problem is considered for a class of dual-rate Wiener systems whose input-output data are measured by two different sampling rate. Firstly, a polynomial transformation technique is used to derive a mathematical model for such dual-rate Wiener systems. Then, directly based on the dual-rate sampled data, a dual-rate Wiener systems stochastic gradient algorithm (DRW-SG) is presented. In order to ...


Research on tangent circular arc smooth Support Vector Machine (TCA-SSVM) algorithm

Yan-Feng Fan; De-Xian Zhang 2008 International Conference on Information and Automation, 2008

Data classification problem is a flourishing research field. Classification is the process of finding the common properties among different patterns and classifying them into classes. SVM (support vector machine) is one of classifier for solving binary classification problem. In traditional SVM solution algorithms, objective function is a strictly convex unconstrained optimization problem, but is un-differentiable due to plus function x+, ...


More eLearning Resources

IEEE.tv Videos

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IEEE-USA E-Books

  • Filters Using Planar Transmission Lines

    Microwave filter design proceeds using a methodical synthesis approach that merges the inherent properties of distributed structures such as coupled lines with a mathematical response characteristic. This chapter covers the most important prototype development procedures and the most important classes of planar transmission line structures. Most filter design begins with a low pass equivalent lumped¿¿¿element filter call a low pass prototype filter. There are two very important types, the Butterworth filter and the Chebyshev filter, that have desirable characteristics that can be expressed as a transfer function with Butterworth and Chebyshev polynomials, respectively. A bandpass microstrip filter is a cascade of resonators with each coupled to its neighbors. There are two principal approaches to planar coupling between adjacent resonators namely end coupling or parallel coupling. With Parallel¿¿¿coupled Line (PCL) filters, the resonator is approximately formed by one microstrip line, which is coupled to another microstrip line¿¿¿based resonator.

  • No title

    This book is intended as an undergraduate text introducing matrix methods as they relate to engineering problems. It begins with the fundamentals of mathematics of matrices and determinants. Matrix inversion is discussed, with an introduction of the well known reduction methods. Equation sets are viewed as vector transformations, and the conditions of their solvability are explored. Orthogonal matrices are introduced with examples showing application to many problems requiring three dimensional thinking. The angular velocity matrix is shown to emerge from the differentiation of the 3-D orthogonal matrix, leading to the discussion of particle and rigid body dynamics. The book continues with the eigenvalue problem and its application to multi- variable vibrations. Because the eigenvalue problem requires some operations with polynomials, a separate discussion of these is given in an appendix. The example of the vibrating string is given with a comparison of the matrix analysis to the cont nuous solution. Table of Contents: Matrix Fundamentals / Determinants / Matrix Inversion / Linear Simultaneous Equation Sets / Orthogonal Transforms / Matrix Eigenvalue Analysis / Matrix Analysis of Vibrating Systems

  • 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

  • No title

    In this lecture, we study Bezier and B-spline curves and surfaces, mathematical representations for free-form curves and surfaces that are common in CAD systems and are used to design aircraft and automobiles, as well as in modeling packages used by the computer animation industry. Bezier/B-splines represent polynomials and piecewise polynomials in a geometric manner using sets of control points that define the shape of the surface. The primary analysis tool used in this lecture is blossoming, which gives an elegant labeling of the control points that allows us to analyze their properties geometrically. Blossoming is used to explore both Bezier and B-spline curves, and in particular to investigate continuity properties, change of basis algorithms, forward differencing, B-spline knot multiplicity, and knot insertion algorithms. We also look at triangle diagrams (which are closely related to blossoming), direct manipulation of B-spline curves, NURBS curves, and triangu ar and tensor product surfaces.

  • Computing large and small stable models

    In this paper, we focus on the problem of existence of and computing small and large stable models. We show that for every fixed integer k, there is a linear-time algorithm to decide the problem LSM (large stable models problem): does a logic program P have a stable model of size at least |P|-k. In contrast, we show that the problem SSM (small stable models problem) to decide whether a logic program P has a stable model of size at most k is much harder. We present two algorithms for this problem but their running time is given by polynomials of order depending on k. We show that the problem SSM is fixed- parameter intractable by demonstrating that it is W[2]-hard. This result implies that it is unlikely, an algorithm exists to compute stable models of size at most k that would run in time O(nc), where c is a constant independent of k. We also provide an upper bound on the fixed-parameter complexity of the problem SSM by showing that it belongs to the class W[3]

  • Taylor Polynomials

    This chapter contains sections titled: Problems

  • No title

    Jordan Canonical Form (JCF) is one of the most important, and useful, concepts in linear algebra. The JCF of a linear transformation, or of a matrix, encodes all of the structural information about that linear transformation, or matrix. This book is a careful development of JCF. After beginning with background material, we introduce Jordan Canonical Form and related notions: eigenvalues, (generalized) eigenvectors, and the characteristic and minimum polynomials. We decide the question of diagonalizability, and prove the Cayley-Hamilton theorem. Then we present a careful and complete proof of the fundamental theorem: Let V be a finite-dimensional vector space over the field of complex numbers C, and let T : V -> V be a linear transformation. Then T has a Jordan Canonical Form. This theorem has an equivalent statement in terms of matrices: Let A be a square matrix with complex entries. Then A is similar to a matrix J in Jordan Canonical Form, i.e., there is an invertible matrix P nd a matrix J in Jordan Canonical Form with A = PJP-1. We further present an algorithm to find P and J, assuming that one can factor the characteristic polynomial of A. In developing this algorithm we introduce the eigenstructure picture (ESP) of a matrix, a pictorial representation that makes JCF clear. The ESP of A determines J, and a refinement, the labeled eigenstructure picture (ℓESP) of A, determines P as well. We illustrate this algorithm with copious examples, and provide numerous exercises for the reader.

  • No title

    From the early pulse code modulation-based coders to some of the recent multi- rate wideband speech coding standards, the area of speech coding made several significant strides with an objective to attain high quality of speech at the lowest possible bit rate. This book presents some of the recent advances in linear prediction (LP)-based speech analysis that employ perceptual models for narrow- and wide-band speech coding. The LP analysis-synthesis framework has been successful for speech coding because it fits well the source-system paradigm for speech synthesis. Limitations associated with the conventional LP have been studied extensively, and several extensions to LP-based analysis- synthesis have been proposed, e.g., the discrete all-pole modeling, the perceptual LP, the warped LP, the LP with modified filter structures, the IIR- based pure LP, all-pole modeling using the weighted-sum of LSP polynomials, the LP for low frequency emphasis, and the cascade-form LP. These extensions can be classified as algorithms that either attempt to improve the LP spectral envelope fitting performance or embed perceptual models in the LP. The first half of the book reviews some of the recent developments in predictive modeling of speech with the help of Matlab™ Simulation examples. Advantages of integrating perceptual models in low bit rate speech coding depend on the accuracy of these models to mimic the human performance and, more importantly, on the achievable "coding gains" and "computational overhead" associated with these physiological models. Methods that exploit the masking properties of the human ear in speech coding standards, even today, are largely based on concepts introduced by Schroeder and Atal in 1979. For example, a simple approach employed in speech coding standards is to use a perceptual weighting filter to shape the quantization noise according to the masking properties of the human ear. The second half of the book reviews some of the recent developme ts in perceptual modeling of speech (e.g., masking threshold, psychoacoustic models, auditory excitation pattern, and loudness) with the help of Matlab™ simulations. Supplementary material including Matlab™ programs and simulation examples presented in this book can also be accessed here. Table of Contents: Introduction / Predictive Modeling of Speech / Perceptual Modeling of Speech

  • Function Approximation Using Polynomials

    This chapter contains sections titled: Using Lagrange Interpolation Finding the Optimal Approximation Polynomial Range Reduction Subinterval Division Practical Considerations Error Studies Function Approximation Example Conclusions References Editor Comments

  • Function Approximation Using Polynomials

    This chapter contains sections titled: Using Lagrange Interpolation Finding the Optimal Approximation Polynomial Range Reduction Subinterval Division Practical Considerations Error Studies Function Approximation Example Conclusions References Editor Comments



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