Conferences related to Memoryless systems

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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 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 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

  • 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.

  • 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.

  • 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.

  • 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.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 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.

  • 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.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 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.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 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.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

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

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

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


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.


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Periodicals related to Memoryless systems

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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 ...


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Memoryless systems

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Xplore Articles related to Memoryless systems

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Correlated sources help transmission over an arbitrarily varying channel

IEEE Transactions on Information Theory, 1997

It is well known that the deterministic code capacity (for the average error probability criterion) of an arbitrarily varying channel (AVC) either equals its random code capacity or zero. Here it is shown that if two components of a correlated source are additionally available to the sender and receiver, respectively, the capacity always equals its random code capacity.


Sessions: Shannon theory

1988 IEEE International Symposium on Information Theory., 1988

The following topics are dealt with: entropy; graphs; channel capacity; Markov, discrete memoryless, energy-limited, Gaussian and nonGaussian channels; locally different sequences; determinant inequalities; hypotheses testing; and game theory.<<ETX>>


Zero-error source-channel coding with source side information at the decoder

IEEE International Symposium on Information Theory, 2003. Proceedings., 2003

This paper describes the zero-error source-channel coding with source side information at the decoder. To analyze the zero-error scenario, we define the following graphs: the source confusability graph G/sub u/ and channel characteristic graph G/sub x/. We can always find a code from a source graph to its complement. Separate source and channel coding corresponds to first mapping from the ...


Communication strategies with ON-OFF signaling for energy harvesting devices

2013 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), 2013

This paper addresses energy harvesting systems, where the transmitter communicates using ON-OFF signaling i.e. in each slot it can either choose to transmit (ON) or stay silent (OFF). Two different communication models are introduced; in the first model an infinite-capacity battery is used and the system communicates on a binary-input memoryless channel, and the second model is a frame-based communication ...


Vector quantizer design for memoryless noisy channels

IEEE International Conference on Communications, - Spanning the Universe., 1988

To handle the effect of transmission errors on the performance of vector quantization (VQ) in source coding, a channel index assignment function is proposed that can be incorporated into a source/channel model of VQ. Using this model, conditions for the optimality of a vector quantizer for a given distortion measure are obtained which generalize the familiar centroid and nearest neighbor ...


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Educational Resources on Memoryless systems

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IEEE.tv Videos

2015 IEEE Honors: IEEE Richard W. Hamming Medal - Imre Csiszar
Erasing Logic-Memory Boundaries in Superconductor Electronics - Vasili Semenov: 2016 International Conference on Rebooting Computing
Open Systems Architecture for RF and Microwave Technologies: MicroApps 2015 - Mercury Systems
IMS 2011 Microapps - Calibration and Accuracy in Millimeter Systems
Impact on Society: Systems Engineer to Systems Entrepreneur for Global Change - Erna Grasz at the 2017 IEEE VIC Summit
Innovative Mechanical Systems to Address Current Robotics Challenges
Harold "Bud" Lawson - IEEE Simon Ramo Medal, 2019 IEEE Honors Ceremony
Rebooting Computing: Trust and Security in Future Computing Systems
A Thermodynamic Treatment of Intelligent Systems - IEEE Rebooting Computing 2017
Inside Kiva Systems - Warehouse Robots at Work
ITEC 2014: Urban Mass Transit Systems: Current Status and Future Trends
IROS TV 2019- Maryland Robotics Center, Institute for Systems Research, University of Maryland
Augmented Reality in Operating Rooms
EMBC 2011-Program-Systems in Synthetic Biology (Part I)-Pamela A. Silver
Wireless Charging Systems for EVs
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Utkan Demirci
The Future of Home & Factory Automation Systems: Mouser's Innovation Spotlight with Grant Imahara
EDA Challenges in Designing Computing Systems with postCMOS Devices - IEEE Rebooting Computing 2017
Continuously Learning Neuromorphic Systems with High Biological Realism: IEEE Rebooting Computing 2017
Research, Development and Field Test of Robotic Observation Systems for Active Volcanic Areas in Japan

IEEE-USA E-Books

  • Correlated sources help transmission over an arbitrarily varying channel

    It is well known that the deterministic code capacity (for the average error probability criterion) of an arbitrarily varying channel (AVC) either equals its random code capacity or zero. Here it is shown that if two components of a correlated source are additionally available to the sender and receiver, respectively, the capacity always equals its random code capacity.

  • Sessions: Shannon theory

    The following topics are dealt with: entropy; graphs; channel capacity; Markov, discrete memoryless, energy-limited, Gaussian and nonGaussian channels; locally different sequences; determinant inequalities; hypotheses testing; and game theory.<<ETX>>

  • Zero-error source-channel coding with source side information at the decoder

    This paper describes the zero-error source-channel coding with source side information at the decoder. To analyze the zero-error scenario, we define the following graphs: the source confusability graph G/sub u/ and channel characteristic graph G/sub x/. We can always find a code from a source graph to its complement. Separate source and channel coding corresponds to first mapping from the source alphabet to an index set and then mapping from the index set to the channel alphabet. The size of the smallest index set that allows a zero-error source code is the chromatic number of G/sub u/, /spl chi/(G/sub u/). The largest index set from which we can map to the channel alphabet is the stability number of G/sub x/, /spl alpha/(G/sub x/).

  • Communication strategies with ON-OFF signaling for energy harvesting devices

    This paper addresses energy harvesting systems, where the transmitter communicates using ON-OFF signaling i.e. in each slot it can either choose to transmit (ON) or stay silent (OFF). Two different communication models are introduced; in the first model an infinite-capacity battery is used and the system communicates on a binary-input memoryless channel, and the second model is a frame-based communication model where a random number of energy quanta is harvested in the beginning of each frame. For the slot-based communication model with an infinite-capacity battery, we have established the capacity and an optimal transmission scheme. For the frame-based communication model, we propose a transmission scheme based on reordering of energy quanta within a frame.

  • Vector quantizer design for memoryless noisy channels

    To handle the effect of transmission errors on the performance of vector quantization (VQ) in source coding, a channel index assignment function is proposed that can be incorporated into a source/channel model of VQ. Using this model, conditions for the optimality of a vector quantizer for a given distortion measure are obtained which generalize the familiar centroid and nearest neighbor conditions. The optimal codevectors are linear combinations of those for the noiseless case, weighted by the a posteriori channel transition probabilities. The optimal encoder selects the codevector that minimizes a weighted sum of the distortion between the input and each codevector, where the weights are channel transition probabilities. A derivation of the conditions for a memoryless channel is given, and an iterative design algorithm is described where at each step the average distortion monotonically decreases. Each iteration consists of three steps which separately modify the encoder, decoder, and the channel index assignment.<<ETX>>

  • Capacity achieving strategies for discrete memoryless channels with feedback

    M-ary repetition strategies for discrete memoryless channels with feedback are considered. It is shown that for each repetition strategy there exists a channel on which the capacity can be achieved. In order to achieve a positive rate we have to be able to correct an error by inserting correction symbols.<<ETX>>

  • Transmission of a slowly varying Markov signal over memoryless channels

    Information rates in certain discrete-time, memoryless, stationary channels with additive non-Gaussian noise and slowly varying input signal are investigated. Under the assumption that the input signal is a stationary Markov chain with rare transitions, it is shown that the information rate is asymptotically equivalent to the entropy of the chain and, therefore, the main term of its asymptotics does not depend on the channel noise.

  • Many-broadcast channels: Definition and capacity in the degraded case

    Classical multiuser information theory studies the fundamental limits of models with a fixed (often small) number of users as the coding blocklength goes to infinity. Motivated by emerging systems with a massive number of users, this paper studies the new many-user paradigm, where the number of users is allowed to grow with the blocklength. The focus of this paper is the degraded many-broadcast channel model, whose number of users may grow as fast as linearly with the blocklength. A notion of capacity in terms of message length is defined and an example of Gaussian degraded many-broadcast channel is studied. In addition, a numerical example for the Gaussian degraded many- broadcast channel with fixed transmit power constraint is solved, where every user achieves strictly positive message length asymptotically.

  • How to quantize n outputs of a binary symmetric channel to n − 1 bits?

    Suppose that Ynis obtained by observing a uniform Bernoulli random vector Xnthrough a binary symmetric channel with crossover probability α. The “most informative Boolean function” conjecture postulates that the maximal mutual information between Ynand any Boolean function b(Xn) is attained by a dictator function. In this paper, we consider the “complementary” case in which the Boolean function is replaced by f : {0, 1}n→ {0, 1}n-1, namely, an n - 1 bit quantizer, and show that I(f(Xn); Yn) ≤ (n - 1)·(1 - h(α)) for any such f. Thus, in this case, the optimal function is of the form f (xn) = (x1,..., xn-1).

  • Capacity of the (1, ∞)-RLL input-constrained erasure channel with feedback

    The input-constrained erasure channel with feedback is considered, where the input sequence contains no consecutive 1's, i.e. the (1, ∞)-RLL constraint. The capacity is calculated using an equivalent dynamic program, which shows that the optimal average reward is equal to the capacity. The capacity can be expressed as Hb(p) Cϵ= max0≤p≤1(Hb(p))/(p+(1/1-ε)) , where ϵ is the erasure probability and Hb(·) is the binary entropy. This capacity also serves as an upper bound on the capacity of the input-constrained erasure channel without feedback, a problem that is still open.



Standards related to Memoryless systems

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Jobs related to Memoryless systems

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