Conferences related to Iterative decoding

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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.


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.


2020 IEEE International Solid- State Circuits Conference - (ISSCC)

ISSCC is the foremost global forum for solid-state circuits and systems-on-a-chip. The Conference offers 5 days of technical papers and educational events related to integrated circuits, including analog, digital, data converters, memory, RF, communications, imagers, medical and MEMS ICs.


Oceans 2020 MTS/IEEE GULF COAST

To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.

  • OCEANS '96

  • OCEANS '97

  • OCEANS '98

  • OCEANS '99

  • OCEANS 2000

  • OCEANS 2001

  • OCEANS 2002

  • OCEANS 2003

  • OCEANS 2004

  • OCEANS 2005

  • OCEANS 2006

  • OCEANS 2007

  • OCEANS 2008

    The Marine Technology Society (MTS) and the Oceanic Engineering Society (OES) of the Institute of Electrical and Electronic Engineers (IEEE) cosponsor a joint conference and exposition on ocean science, engineering, education, and policy. Held annually in the fall, it has become a focal point for the ocean and marine community to meet, learn, and exhibit products and services. The conference includes technical sessions, workshops, student poster sessions, job fairs, tutorials and a large exhibit.

  • OCEANS 2009

  • OCEANS 2010

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2011

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2012

    Ocean related technology. Tutorials and three days of technical sessions and exhibits. 8-12 parallel technical tracks.

  • OCEANS 2013

    Three days of 8-10 tracks of technical sessions (400-450 papers) and concurent exhibition (150-250 exhibitors)

  • OCEANS 2014

    The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2015

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2016

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 500 technical papers and 150 -200 exhibits.

  • OCEANS 2017 - Anchorage

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorials on ocean technology, workshops and town meetings on policy and governmental process.

  • OCEANS 2018 MTS/IEEE Charleston

    Ocean, coastal, and atmospheric science and technology advances and applications


2020 IEEE International Symposium on Information Theory (ISIT)

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



Periodicals related to Iterative decoding

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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 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.


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, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...



Most published Xplore authors for Iterative decoding

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Xplore Articles related to Iterative decoding

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Reduced-complexity belief propagation decoding for low-density parity-check codes

Electronics Letters, 2008

A novel dual-min-sum decoding algorithm for low-density parity-check codes is proposed. The proposed algorithm simplifies the check-node updates and thus reduces the computational complexity of the belief propagation (BP) algorithm significantly. Simulation results show that the proposed algorithm can achieve an error performance very close to that of the BP algorithm.


Decoding

Error Control Coding for B3G/4G Wireless Systems: Paving the Way to IMT-Advanced Standards, None

This chapter provides an overview of efficient soft‐decision decoding techniques. It surveys maximum‐likelihood soft‐decision decoding (ML‐SDD) algorithms, which are relatively simple to apply for short‐length codes. The chapter introduces a novel algorithm based on a softsyndrome decoder, and the interesting topic of SDD algorithms for Reed‐Solomon codes. It focuses on maximum a posteriori probability (MAP) decoding, which underlies the iterative ...


Turbo‐Principle Extensions

Error Control Coding for B3G/4G Wireless Systems: Paving the Way to IMT-Advanced Standards, None

None


Coding

Error Control Coding for B3G/4G Wireless Systems: Paving the Way to IMT-Advanced Standards, None

None


Erratum

IEEE Transactions on Broadcasting, 2006

None



Educational Resources on Iterative decoding

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IEEE-USA E-Books

  • Reduced-complexity belief propagation decoding for low-density parity-check codes

    A novel dual-min-sum decoding algorithm for low-density parity-check codes is proposed. The proposed algorithm simplifies the check-node updates and thus reduces the computational complexity of the belief propagation (BP) algorithm significantly. Simulation results show that the proposed algorithm can achieve an error performance very close to that of the BP algorithm.

  • Decoding

    This chapter provides an overview of efficient soft‐decision decoding techniques. It surveys maximum‐likelihood soft‐decision decoding (ML‐SDD) algorithms, which are relatively simple to apply for short‐length codes. The chapter introduces a novel algorithm based on a softsyndrome decoder, and the interesting topic of SDD algorithms for Reed‐Solomon codes. It focuses on maximum a posteriori probability (MAP) decoding, which underlies the iterative decoding algorithms for random‐like long codes including turbo codes and LDPC codes. Both approaches are considered optimal. However, in MAP decoding the optimality condition minimizes the information bit or symbol error rate, whereas maximum‐likelihood decoding (MLD) minimizes the codeword error rate. The chapter briefly formulates the ML‐SDD of linear codes and reviews several adaptive and fixed reliability‐based MLDand near‐MLD schemes. It introduces some results for rather short packet length and point out open problems for further research.

  • Turbo‐Principle Extensions

    None

  • Coding

    None

  • Erratum

    None

  • Combining Spatially Coupled LDPC Codes with Modulation and Detection

    We illustrate the performance of terminated convolutional LDPC codes in combination with spectrally efficient modulation (as a generic front-end), and show that classic LDPC design philosophies of optimizing degree profiles (and thus seeking for irregularity) are becoming less relevant for spatially coupled codes. We show that with very simple codes (even if regular) we can observe a "universal" behavior, which means that the code performs well regardless of the channel or the detector characteristic.We give two examples of simple coding schemes with one illustrating the universal behavior and show by a simulative example the performance in a practical scenario. We also try to give a pictorial illustration of convergence mechanisms of spatially coupled codes, and distinguish between two different regimes that we coin micro- and macro-convergence, respectively.

  • Verification-Based Decoding with MAP Erasure Recovery

    Verification-based decoding (VBD) is a simple yet powerful iterative (IT) decoding technique for codes operating on packets (vector-symbols) and channels that introduce packetwise errors. An example is given by the q-ary symmetric channel (qSC) for which a simple improvement of the VBD algorithm is proposed. It consists of performing a Gaussian elimination (GE)-based erasure decoding stage whenever VBD fails, i.e., whenever beta > 0 packets remain unverified. The modified decoder may recover the beta unverified packets with a complexity of O(beta(exp 3)) by making use of the inherent code structure. Numerical results on low-density parity-check (LDPC) codes and analytical expressions for the block error probability of linear random block codes show the benefit of the proposed algorithm.

  • Enhanced Turbo Decoding for Error Floor Reduction

    In this paper, we consider enhanced decoding of turbo codes in the error floor region. Allowing no modifications at the transmitter side, we focus on enhanced decoding algorithms which aim principally at reducing the error floor. We employ a combination of two methods which have been applied separately in the literature: the correction impulse method (CIM) and the list Viterbi algorithm (LVA). We explicitly consider the impact of a practical error detection code and show its limitations.

  • Architecture and Hardware Requirements

    None

  • Error Correction Codes

    An error correction code is an essential part of wireless communication systems. This chapter designs the turbo encoder/decoder, turbo product encoder/decoder, and low‐density parity check (LDPC) encoder/decoder. It looks into design criteria, describes the algorithms, and discusses hardware implementation issues. The turbo codes achieved very low error probability which is close to the Shannon limit. The idea of the revolutionary error correction codes originates from concatenated encoding, randomness, and iterative decoding. The turbo decoder based on an iterative scheme is composed of two Soft Input Soft Output (SISO) component decoders. The SISO decoder is based on the Maximum a Posteriori (MAP) algorithm (also known as Bahl‐Cocke‐ Jelinek‐Raviv (BCJR) algorithm). The chapter also discusses the hardware design issues of MAP decoder, turbo product encoding process, and LDPC codes. It ends with a brief discussion on the belief propagation algorithm and log domain sum product algorithm.



Standards related to Iterative decoding

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No standards are currently tagged "Iterative decoding"