Conferences related to Information Theory

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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 Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


2020 IEEE International Symposium on Information Theory (ISIT)

Information theory, coding theory, communication theory, signal processing, and foundations of machine learning


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


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Periodicals related to Information Theory

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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 ...


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-- ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


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Most published Xplore authors for Information Theory

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Xplore Articles related to Information Theory

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Sessions: multi-user information theory

1988 IEEE International Symposium on Information Theory., 1988

The following topics are dealt with: multiterminal source encoding, hypothesis testing and detection; Fisher information under restriction of Shannon information; frame-asynchronous channels with memory; feedback channel capacity and achievable rate regions.<<ETX>>


Back from infinity: a constrained resources approach to information theory

Proceedings of IEEE International Symposium on Information Theory, 1997

The classical results of information theory are mostly asymptotic in nature. Tighter results are called for, when there are constraints on the encoding or decoding resources (delay, memory-size, or computational complexity). Some old, as well as some new results addressing these problems are discussed.


A Bit of Information Theory, and the Data Augmentation Algorithm Converges

IEEE Transactions on Information Theory, 2008

The data augmentation (DA) algorithm is a simple and powerful tool in statistical computing. In this note basic information theory is used to prove a nontrivial convergence theorem for the DA algorithm.


Zero-error information theory

IEEE Transactions on Information Theory, 1998

The problem of error-free transmission capacity of a noisy channel was posed by Shannon in 1956 and remains unsolved, Nevertheless, partial results for this and similar channel and source coding problems have had a considerable impact on information theory, computer science, and mathematics. We review the techniques, results, information measures, and challenges encountered in this ongoing quest.


Quantum information theory

IEEE Transactions on Information Theory, 1998

We survey the field of quantum information theory. In particular, we discuss the fundamentals of the field, source coding, quantum error-correcting codes, capacities of quantum channels, measures of entanglement and quantum cryptography.


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Educational Resources on Information Theory

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IEEE-USA E-Books

  • Sessions: multi-user information theory

    The following topics are dealt with: multiterminal source encoding, hypothesis testing and detection; Fisher information under restriction of Shannon information; frame-asynchronous channels with memory; feedback channel capacity and achievable rate regions.<<ETX>>

  • Back from infinity: a constrained resources approach to information theory

    The classical results of information theory are mostly asymptotic in nature. Tighter results are called for, when there are constraints on the encoding or decoding resources (delay, memory-size, or computational complexity). Some old, as well as some new results addressing these problems are discussed.

  • A Bit of Information Theory, and the Data Augmentation Algorithm Converges

    The data augmentation (DA) algorithm is a simple and powerful tool in statistical computing. In this note basic information theory is used to prove a nontrivial convergence theorem for the DA algorithm.

  • Zero-error information theory

    The problem of error-free transmission capacity of a noisy channel was posed by Shannon in 1956 and remains unsolved, Nevertheless, partial results for this and similar channel and source coding problems have had a considerable impact on information theory, computer science, and mathematics. We review the techniques, results, information measures, and challenges encountered in this ongoing quest.

  • Quantum information theory

    We survey the field of quantum information theory. In particular, we discuss the fundamentals of the field, source coding, quantum error-correcting codes, capacities of quantum channels, measures of entanglement and quantum cryptography.

  • Information Theory Approach to Crystallographic Symmetry Classifications of Noisy 2D Periodic Images

    An information theory inspired approach, i.e. utilization of Geometric Akaike Information Criteria (G-AICs), individual Akaike weights, and products of Akaike weights, allows for objective crystallographic symmetry classification of images that are more or less periodic in two dimensions (2D). The combined usage of G-AICs for Bravais lattice types and plane symmetry groups should enable successful classifications even in the presence of severe pseudo- symmetry challenges.

  • Information Theory, Information View, and Software Testing

    Information theory was founded by Claude Shannon in 1948 for communication and has also been applied in many other areas since then. With the basic concepts from information theory, this paper studies software testing from a new view, called information view. From information view, the purpose of software testing is to generate information for the software under test to reduce its uncertainty, and the product from the testing is information. As demonstrated in several simple examples, equations used in information theory can help to calculate the information quantity generated from a test case, and use it as a measurement to improve testing processes. From information view, this paper also raises several new fundamental questions, which cannot be answered by either Shannon's information theory or current software testing theory, for future research to get a better understanding of the nature of software testing.

  • The philosophical thoughts of measurement information theory and its applications

    Information is also an objective reality like substance and energy. This paper first analysis the process of measurement using the information theory, puts forward the essence of measurement process and builds a information model for the measurement process, which can explain why the interference and error are always existed in the result of measurement. The dialectical relationship between the measurement process and the epistemology are also confirmed in this paper, in order to get the exactly information that can reflect the measured object, the paper put forward many methods following the epistemological principles. At last, The technology of multi-sensor fusion is used to reduce errors in measurement, which displays that the application of measurement information theory in science and technology. The measurement information theory is very important to guide the methods of design and ideas in measurement process.

  • Information theory and statistics

    The main theorems in information theory and statistics are put in context, the differences are discussed, and some of the open research problems are mentioned. The author demonstrates some of the points of intersection of information theory and statistics, and discuss some problems in physics and computer science that require a rigorous probabilistic treatment.

  • Experimental study of ants numerical aptitude based on the ideas of the information theory

    In order to obtain food ants had to transmit each other the information about a number of one of 30 branches containing a trough with sugared water. However, the food used to appear at the two definite branches much more frequently than at the rest. It turned out that ants, firstly, are able to change their communicative system in order to co-ordinate the time duration of their communications with the frequency of their occurrence and, secondly, they may add and subtract small numbers when transmitting messages about the number of the branch containing the food.



Standards related to Information Theory

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