IEEE Organizations related to Convex Functions

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No organizations are currently tagged "Convex Functions"



Conferences related to Convex Functions

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2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)

  • 1997 American Control Conference - ACC '97

  • 1998 American Control Conference - ACC '98

  • 1999 American Control Conference - ACC '99

  • 2000 American Control Conference - ACC 2000

  • 2001 American Control Conference - ACC 2001

  • 2002 American Control Conference - ACC 2002

  • 2003 American Control Conference - ACC 2003

  • 2004 American Control Conference - ACC 2004

  • 2005 American Control Conference - ACC 2005

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2007 American Control Conference - ACC 2007

  • 2008 American Control Conference - ACC 2008

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and 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.

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and 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.

  • 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.

  • 2018 Annual 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.

  • 2019 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.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


ICC 2020 - 2020 IEEE International Conference on Communications

All topics relating to existing and emerging communications networking technologies.


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science



Periodicals related to Convex Functions

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No periodicals are currently tagged "Convex Functions"


Most published Xplore authors for Convex Functions

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Xplore Articles related to Convex Functions

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Efficient design of waveforms for robust pulse amplitude modulation using mean square error criteria

2000 10th European Signal Processing Conference, 2000

The design of a pulse shaping filter which provides maximal robustness to an unknown frequency-selective channel is formulated as a convex optimization problem from which an optimal filter can be efficiently obtained. Robustness is measured by the worst-case mean square error of the data estimate over a class of deterministically bounded channels, and the optimization is subject to a constraint ...


Mathematical Tools for Resource Management

Wireless Communications Resource Management, None

This chapter contains sections titled:Convex OptimizationDynamic ProgrammingAnalogy of Economics and Wireless Resource Management]]>


Designing IIR filters with variable stopbands using SP method

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013

In this paper, we propose a design method for variable IIR digital filters with changeable multifactors in the stopband using the successive projection (SP) method. The SP method uses less computer memory to design digital filters than semidefinite programming. The proposed variable IIR filter has piecewise high stopband attenuation in the stopband, and the filter varies stopband edge frequency, and ...


Transmit antenna selection in massive MIMO systems

2017 International Conference on Information and Communication Technology Convergence (ICTC), 2017

We consider an antenna selection scheme in single-user massive MIMO systems. We formulate a rate maximization problem with a sparsity promoting regularization function. The proposed algorithm allocates sparse power allocation among transmit antennas. It achieves a very high sum rate close to the optimal full search algorithm.


Factor analysis of moving average processes

2015 European Control Conference (ECC), 2015

The paper considers an extension of factor analysis to moving average processes. The problem is formulated as a rank minimization of a suitable spectral density. It is shown that it can be adequately approximated via a trace norm convex relaxation.



Educational Resources on Convex Functions

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IEEE.tv Videos

Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016
Advances in Kernel Methods
Stephen P. Boyd accepts the IEEE James H. Mulligan, Jr. Education Medal - Honors Ceremony 2017
Bob Martin on Industrial Internet Reference Architecture: 2016 End to End Trust and Security Workshop for the Internet of Things
Learning How to Learn: Powerful Mental Tools to Help You Master Tough Subjects
Transceiver Systems for mmWave Application - Mats Carlsson - RFIC Showcase 2018
Visual Encoding Models of Human Field Potential Recordings
Massive MIMO at 60 GHz vs. 2 GHz - Eric Larsson: Brooklyn 5G Summit 2017
IEEE Magnetics Distinguished Lecture - Mitsuteru Inoue
IEEE Xplore Digital Library - Prakash Bellur - Ignite: Sections Congress 2017
UPDATED: IEEE Collabratec User Essential Overview Part 1: Basics
Raffaele Giaffreda: Solving IoT Interoperability and Security Problems in an eHealth Context: WF-IoT 2016
IEEE Summit on Internet Governance 2014: Panel III - The Future of Internet Governance
NEREID: Systems Design & Heterogeneous Integration: Danilo Demarchi at INC 2019
Enhancing the Community Response to Aid First Responders - Thyaga Nandagopal - 5G Technologies for Tactical and First Responder Networks 2018
Double Barrier Memristive Devices for Neuromorphic Computing - Martin Zeigler: 2016 International Conference on Rebooting Computing
Award-Winning Methods for LPIRC - Tao Sheng - LPIRC 2019
5G Networks: Slicing and Function Placement - Future X Network Panel Talk - Wolfgang Kellerer - Brooklyn 5G Summit 2018
Q&A with Dr. Maryam Shanechi: IEEE Brain Podcast, Episode 6 Part 2
Education for Analog ICs

IEEE-USA E-Books

  • Efficient design of waveforms for robust pulse amplitude modulation using mean square error criteria

    The design of a pulse shaping filter which provides maximal robustness to an unknown frequency-selective channel is formulated as a convex optimization problem from which an optimal filter can be efficiently obtained. Robustness is measured by the worst-case mean square error of the data estimate over a class of deterministically bounded channels, and the optimization is subject to a constraint on the bandwidth of the filter. The design technique allows efficient exploration of design trade-offs between bandwidth, performance in an ideal channel and robustness to unknown channel distortion. It is used to design chip waveforms with superior performance to the waveform specified in a recent standard for digital mobile telephony.

  • Mathematical Tools for Resource Management

    This chapter contains sections titled:Convex OptimizationDynamic ProgrammingAnalogy of Economics and Wireless Resource Management]]>

  • Designing IIR filters with variable stopbands using SP method

    In this paper, we propose a design method for variable IIR digital filters with changeable multifactors in the stopband using the successive projection (SP) method. The SP method uses less computer memory to design digital filters than semidefinite programming. The proposed variable IIR filter has piecewise high stopband attenuation in the stopband, and the filter varies stopband edge frequency, and both the frequency and its magnitude in the piecewise high attenuation. The filter coefficients are composed polynomial expression using variable parameters to vary the filter characteristics. Finally, we demonstrate effectiveness of the proposed method.

  • Transmit antenna selection in massive MIMO systems

    We consider an antenna selection scheme in single-user massive MIMO systems. We formulate a rate maximization problem with a sparsity promoting regularization function. The proposed algorithm allocates sparse power allocation among transmit antennas. It achieves a very high sum rate close to the optimal full search algorithm.

  • Factor analysis of moving average processes

    The paper considers an extension of factor analysis to moving average processes. The problem is formulated as a rank minimization of a suitable spectral density. It is shown that it can be adequately approximated via a trace norm convex relaxation.

  • Reconstruction of bone microstructure from few projections with convex-concave and non local regularization

    This work investigates a new method based on discrete tomography for the reconstruction of binary cross-sections of bone micro-structure from a small number of projections. While priors based on Markov random fields have been previously considered for the reconstruction of binary images, we propose to improve the regularization term by introducing long range smoothness constraints. To this aim, we propose to use a convex-concave deterministic optimization approach coupled with a non local regularization. Applications to 256×256 bone cross-section images provides good results from only 20 projections, even in the presence of additive gaussian noise.

  • Synthesis of Planar Sparse Arrays With Minimum Spacing Constraint

    It is a key problem to constrain the minimum interelement spacing in the sparse antenna array synthesis. A perturbed compressive sampling (PCS) and a convex optimization are two existing sparse array synthesis methods, which have their shortcomings of small spacing between adjacent elements when solving practical problems. In this letter, a new method for sparse planar array synthesis with the interelement minimum spacing constraint is proposed by combining the advantages of PCS and convex optimizations. This method solves the problems of small spacing in PCS synthesize results and long solving time or even invalid for the large-scale array in the convex optimization methods. Moreover, the method can ensure that the gain of the sparse array is similar to the uniform counterpart. The numerical results show that the method can maintain the merits of sparsity, peak sidelobe level, and gain while constraining the minimum interelement spacing.

  • A Smoothing Fast Iterative Shrinkage/Thresholding Algorithm for Compressed Mr Imaging

    In this paper, we propose a smoothing fast iterative shrinkage/thresholding algorithm for compressed MR image reconstruction. The basic idea of our algorithm is to apply a smoothing technique to the minimization problem of a linear combination of three terms corresponding to a least squares data fitting, total variation and $l_{1}$ norm regularization, which has been shown to be very powerful for the MR image reconstruction, and then minimize this approximation using the well-known fast iterative shrinkage/thresholding algorithm. Experimental results show that the quality of restored MR images by our proposed method is competitive with those restored by the previous methods for compressed MR image reconstruction.

  • A Fast Fixed Point Iteration Algorithm for Sparse Channel Estimation

    Channels with a long but sparse impulse response arise in a variety of wireless communication applications, such as high definition television (HDTV) terrestrial transmission and underwater acoustic communications. By adopting the ℓ1-norm as the sparsity metric of the channel response, the channel estimation is formulated as a complex-valued convex optimization problem. A fast fixed point iteration algorithm is developed to solve the resultant complex-valued ℓ1-minimization problem. The proposed fast channel estimation algorithm is easy to implement and has a low computational complexity of O (N log N) per iteration with N the signal length. Simulation results are provided to demonstrate the performance of the proposed fixed point algorithm.

  • Beam-Pattern Synthesis for Circular Arrays with Sensor Selection for WBAN via Convex Optimization

    Wireless body area network (WBAN) is emerging as a powerful tool for health management which is characterized by a modest number of sensors placed on or around human bodies. Since sensor nodes are generally battery-powered devices, reducing sensor node power consumption to improve the efficiency and save sensor usage costs is crucial. In this paper, a convex optimization method based beam-pattern synthesis with sensor selection is proposed for circular sparse arrays, which can be regarded as the model of the head of human. Our goal is two-fold: minimize the number of sensors while achieving the best peak level of side-lobe. The method can solve uniformly spaced circular arrays with inter-element spacings about half- wavelength in order to satisfy the performance of the beam-pattern. Based on the one circular ring array, we propose two different configuration modes, one is uniform circular array and the other is concentric circular array. Simulations are shown using up to a few hundred sensors to illustrate the practicality of the proposed algorithm.



Standards related to Convex Functions

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No standards are currently tagged "Convex Functions"