Conferences related to Iterative algorithm

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. 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 publicize themselves and their products among the leaders of communications industries from all over the world.


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


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


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.


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Periodicals related to Iterative algorithm

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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.


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 Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


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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Most published Xplore authors for Iterative algorithm

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Xplore Articles related to Iterative algorithm

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An improved ant colony algorithm and its application in TSP

2010 8th World Congress on Intelligent Control and Automation, 2010

The default that the factor of pheromone remnant is constant can make the algorithm fall into the local optimal solution easily, a new factor of pheromone remnant is proposed which is varying with the iterative time. But this can not overcome the local one completely, the bit exchanging mode with the shifting windows is proposed by the analysis in the ...


Extension of reference signal in iterative learning control for non-minimum phase systems

Proceedings of SICE Annual Conference 2010, 2010

This paper proposes to extend the given reference signal in the iterative learning control context so that the resultant signal has the non-minimum phase zero structure as the given plant. This extension enables preventing control inputs exponentially increasing. The extending signals can be synthesized by solving a linear equation. The effectiveness of the proposed method is examined by using a ...


Channel estimation iterative algorithm for OFDM systems based on windowed fourth Discrete Cosine Transform

The 2nd International Conference on Information Science and Engineering, 2010

The Pilot-Symbol Assisted Modulation (PSAM) is an usual channel method for OFDM systems. On the basis of Windowed the fourth Discrete Cosine Transform (WDCT-IV), a new channel estimation iterative algorithm for OFDM systems is proposed. By exploiting the characteristics of iterative detection, the proposed algorithm inhibits the additive white Gaussian noise (AWGN) and inter-carrier interference (ICI) more effectively. Simulation result ...


Improved particle swarm optimization algorithm and its application in coordinated air combat missile-target assignment

2008 7th World Congress on Intelligent Control and Automation, 2008

Based on the analysis of the basic particle swarm optimization (PSO) algorithm, an improved particle swarm optimization (IPSO) algorithm was proposed to solve the problem with missile-target assignment in coordinated air combat (MTACAC). There were three improvements: 1. Adaptive adjustment of inertia weight; 2. Amelioration of particle velocity and position; 3. Better optimization strategy. Based on the principles of coordinated ...


Identification of discrete-time varying nonlinear systems using time-varying neural networks

2010 8th World Congress on Intelligent Control and Automation, 2010

Iterative learning identification algorithms for time-varying neural networks training are presented, by which neural networks based identification for discrete-time varying nonlinear systems can be carried out, as the system undertaken performs tasks repeatedly over a finite time interval. This paper develops the iterative learning least squares algorithm with dead-zone for the weights updating along the iteration axis. In order to ...


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Educational Resources on Iterative algorithm

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IEEE.tv Videos

Switching, Routing & Forwarding: Technical Session 1 - HPSR 2020 Virtual Conference
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics
Algorithm recommendation using metalearning
Learning Method of the SIC Fuzzy Inference Model - Genki Ohashi - ICRC San Mateo, 2019
Van Jacobson: The Slow-Start Algorithm
Is Your Algorithm Dangerous? Lyria Bennett Moses - Ignite: Sections Congress 2017
Co-Design of Algorithms & Hardware for DNNs - Vivienne Sze - LPIRC 2019
Learning through Deterministic Assignment of Hidden Parameter
How Symmetry Constrains Evolutionary Optimizers: A Black Box Differential Evolution Case Study - IEEE Congress on Evolutionary Computation 2017
Combinatorial Sleeping Bandits with Fairness Constraints - Bo Ji - IEEE Sarnoff Symposium, 2019
A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar
Multiobjective Quantum-inspired Evolutionary Algorithm and Preference-based Solution Selection Algorithm
IROS TV 2019- How to Build a Robot: Vision Based Estimation of Driving Energy for Planetary Rovers
Ponnuthurai Nagaratnam Suganthan - Differential Evolution
Development of Quantum Annealing Technology at D-Wave Systems - 2018 IEEE Industry Summit on the Future of Computing
Quantum Annealing: Current Status and Future Directions - Applied Superconductivity Conference 2018
Requirements, Models, and Properties: Their Relationship and Validation
IEEE Medal for Innovations in Healthcare Technology - Thomas F. Budinger - 2018 IEEE Honors Ceremony
Bias in the Age of the Algorithm | IEEE TechEthics Virtual Panel
Digital Signal Processing for Envelope Tracking Systems

IEEE-USA E-Books

  • An improved ant colony algorithm and its application in TSP

    The default that the factor of pheromone remnant is constant can make the algorithm fall into the local optimal solution easily, a new factor of pheromone remnant is proposed which is varying with the iterative time. But this can not overcome the local one completely, the bit exchanging mode with the shifting windows is proposed by the analysis in the solution set. Above all an improved ant colony algorithm is got, then it applies in the TSP, the simulation shows that this algorithm can improve the ability of searching global optimization and overcome premature convergence. Comparison with the basic ant colony algorithm shows that the algorithm is effective.

  • Extension of reference signal in iterative learning control for non-minimum phase systems

    This paper proposes to extend the given reference signal in the iterative learning control context so that the resultant signal has the non-minimum phase zero structure as the given plant. This extension enables preventing control inputs exponentially increasing. The extending signals can be synthesized by solving a linear equation. The effectiveness of the proposed method is examined by using a numerical example.

  • Channel estimation iterative algorithm for OFDM systems based on windowed fourth Discrete Cosine Transform

    The Pilot-Symbol Assisted Modulation (PSAM) is an usual channel method for OFDM systems. On the basis of Windowed the fourth Discrete Cosine Transform (WDCT-IV), a new channel estimation iterative algorithm for OFDM systems is proposed. By exploiting the characteristics of iterative detection, the proposed algorithm inhibits the additive white Gaussian noise (AWGN) and inter-carrier interference (ICI) more effectively. Simulation result shows that the technique is effective and the system performance is better than one of Ref.[11] under the multipath fading channels.

  • Improved particle swarm optimization algorithm and its application in coordinated air combat missile-target assignment

    Based on the analysis of the basic particle swarm optimization (PSO) algorithm, an improved particle swarm optimization (IPSO) algorithm was proposed to solve the problem with missile-target assignment in coordinated air combat (MTACAC). There were three improvements: 1. Adaptive adjustment of inertia weight; 2. Amelioration of particle velocity and position; 3. Better optimization strategy. Based on the principles of coordinated air combat efficiency and operational research, a missile-target assignment mathematical model was established. The IPSO algorithm was applied to seek the optimal missile assignment scheme for multi-target coordinated air-to-air combat. The simulation result indicated that the model of MTACAC was practical and feasible, and the IPSO algorithm was fast, simple, and more effective in finding out the global optimum assignment, when compared with the basic PSO algorithm and the genetic algorithm (GA).

  • Identification of discrete-time varying nonlinear systems using time-varying neural networks

    Iterative learning identification algorithms for time-varying neural networks training are presented, by which neural networks based identification for discrete-time varying nonlinear systems can be carried out, as the system undertaken performs tasks repeatedly over a finite time interval. This paper develops the iterative learning least squares algorithm with dead-zone for the weights updating along the iteration axis. In order to improve the convergence rate, the learning algorithm is modified by re-adjusting the covariance matrix. The proposed algorithms guarantee that the estimation error converges to a bound point wisely over the entire time interval. Numerical results are presented to demonstrate effectiveness of the proposed learning algorithms.

  • An iterative learning process based on Bayesian principle in pursuit-evasion games

    In a pursuit-evasion game, a pursuer tries to capture evader while the evader is trying to avoid capture. During the pursuit and evasion, pursuer longs for minimizing the distance from evader at any time while evader wants to the maximal distance. Although the relevant information of each side is unknown for each other, the initial information about pursuer and evader's locations and transition directions can be presented according to the prior probability. Then a Bayesian iterative process can be used to modify the probability of opponent's actions and to maximize the probability. It can make the pursuer and evader satisfy their min and max needs respectively. Simulations show that with the increase of pursuit-evasion area, capture frequency has robust convergence, and average capture time and iterative frequency increase faster.

  • A General Iterative Method Based on the Hybrid Steepest Descent Scheme for Nonexpansive Mappings in Hilbert Spaces

    Let H be a real Hilbert space.Suppose that T is a nonexpansive mapping on H with a fixed point, G is a L-Lipschitzian mapping on H with coefficient L > 0, and F : H → H is a k- Lipschitzian and η-strongly monotone operator with k > 0, η > O. Let 0 <; μ <; 2η/k2, 0 <; γ <; μ(η - μk2/2)/L = τ/L. We pointed out the relationship between Yamada's method and viscosity iteration and proved that the sequence {xη} generated by the iterative method xη+1= αnγG(xn) + (I - μαnF)Txnconverges strongly to a fixed point x̃ ∈ Fix(T), which solves the variational inequality ((γG - μF)x̃, x-x̃) ≤ 0, for x ∈ Fix(T).

  • An improved Fuzzy C Means clustering algorithm and its application in traffic condition recognition

    This paper proposes an improved FCM algorithm aiming at many problems in Fuzzy C Means algorithm, such as being sensitive to initial conditions, usually leading to local minimum results. The new algorithm can obtain global optimal solutions through a new simple and efficient selecting rule of the initial cluster centers, furthermore alternating optimization in terms of a novel separable criterion. By comparative testing with custom FCM, the new algorithms not only have fewer numbers of iterations and have higher accuracy, but also more suitable for problems with not balanced classified samples. Finally, the new algorithm is applied in traffic condition recognition and the result shows that the new clustering approach is promising for the dynamic identification of road traffic state.

  • Analysis and Improvement of Virtual Work Criteria for Structure Optimization

    An improvement of virtual work criteria for structure optimization is presented to overcome the shortcomings caused by the neglect of dead weight and inertial load of structure in solution of criteria equations. Deduction of criteria equations is analyzed to prove that the shortcomings lead to the error of structure optimization. Therefore, new criteria equations are formulated using the displacement representation of algebraic sum and matrices. According to the characteristics of the improved criteria equations, an improved Aitken algorithm is applied to solve the equations in order to implement the complete automatization of iterative solution for structure optimization. The algorithm is proved to be an accelerated iterative method, and its convergence order is estimated. The feasibility of improved criteria equations and the merits of improved Aitken algorithm are demonstrated by an illustrative example showing five-bar truss. The results show that the improvement of virtual work criteria provides a structure optimization method for precision machine.

  • Iterative scheme for the system of generalized variational inequalities in non-compact subsets of Banach spaces

    By the properties of the generalized f-projection operator, an iterative scheme for the system of generalized variational inequalities is proposed in non-compact subsets of Banach spaces, and new existence theorems and results of approximating solutions for the iterative algorithm are given in uniformly convex and uniformly smooth Banach spaces.



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