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6th Mediterranean Conference on Embedded Computing (MECO)

作者： Grinchenko, N. Gromov, A. Ovechkin, G. Ryazan State Radio Engn Univ Fac Comp Engn Ryazan Russia

ISBN: (纸本)9781509067428

The article discusses self-orthogonal error-correcting codes (SOC) for the decoding of which multithreshold algorithms (MTD) are usually used. The work gives the results of the research of MTD efficiency in binary erasure channels. Also new, longer and more efficient convolutional SOCs are received, comparative analysis of MTD efficiency and the efficiency of best methods to recover erasures is made. It is offered new concatenated code consisting of SOC and parity-check code for binary erasure channel allowing to decrease bit unrecovered erasure probability in the area of MTD efficient operation to 2..3 decimal orders. Lower bounds on bit unrecovered erasure probabilities for a decoder of the concatenated code are given;the its simulation results are discussed.

关键词： communication systems self-orthogonal codes multithreshold decoder iterative decoding parity-check codes concatenated codes binary erasure channels erasure recovering

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Increase Efficiency of Multilevel multithreshold decoder for Self-Orthogonal Codes

Increase Efficiency of Multilevel Multithreshold Decoder for...

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International Siberian Conference on Control and Communications (SIBCON)

作者： Cao, V. T. Grinchenko, N. N. Ovechkin, G., V Ryazan State Radio Engn Univ Fac Comp Engn Ryazan Russia

ISBN: (纸本)9781467383837

This paper considers multilevel multithreshold decoder for a self-orthogonal codes. Simulation results for an AWGN channel are reported. New modifications of this decoder provided coding gain improving by a few tenths of dB due to better using of the bits soft information are offered. Recommendations to choose the best algorithms of constituting blocks of the multilevel multithreshold decoder and its parameters are given.

关键词： error-correcting coding self-orthogonal code multithreshold decoder multilevel multithreshold decoder

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Improving Performance of multithreshold decoder for Self-Orthogonal Codes 5

Improving Performance of Multithreshold Decoder for Self-Ort...

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5th Mediterranean Conference on Embedded Computing (MECO)

作者： Baranchikov, A. I. Grinchenko, N. N. Ovechkin, G. V. Ryazan State Radio Engn Univ Fac Comp Engn Ryazan Russia

ISBN: (纸本)9781509022212

The article discusses self-orthogonal error-correcting codes (SOC) for the decoding of which multithreshold algorithms (MTD) are usually used. To decode SOC the algorithms used for low-density parity-check (LDPC) codes can also be applied. The article shows that using a min-sum decoder for SOC over a channel with additive white Gaussian noise (AWGN) in case of binary phase shift keying allows to receive additional coding gain about 1..1,5 dB in comparison with MTD usage. At the same time computing complexity in a min-sum algorithm turns out to be 6...7 times higher than MTD. For SOC decoding the work offers a combined decoder including the elements of MTD and min-sum algorithms. The first several decoding iterations require the usage of min-sum decoder while later MTD is added. The results of offered decoder simulation show about 1 dB increase of coding gain in comparison with MTD for SOC over a channel with AWGN with binary phase shift keying in case of twofold increase of computing complexity. The gain received depends on the SOC used, the number of min-sum decoding iterations and MTD.

关键词： self-orthogonal codes multithreshold decoder LDPC codes min-sum decoder coding gain combined decoder

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High Throughput Software multithreshold decoder on GPU 3

High Throughput Software Multithreshold Decoder on GPU

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3rd International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

作者： Zolotarev, V Ovechkin, G. Ovechkin, P. Satybaldina, D. Tashatov, N. Sankibayev, D. Ryazan State Radio Engn Univ Dept Computat & Appl Math Ryazan Russia LN Gumilyov Eurasian Natl Univ Dept Comp Engn Astana Kazakhstan

ISBN: (纸本)9781509009732

multithreshold decoder (MTD) is the simplest type of majority decoder that decodes self-orthogonal codes. Low computational complexity and simple decoding hardware implementation of multithreshold decoders allow using them in high speed communication systems and data storage systems that require decoding information at speeds above 1 Gbit/s. A high-speed software binary multithreshold decoder using a modern computing power of the graphics processing unit (GPU) is considered. Such software implementation of MTD helps to decode several hundred blocks received from the channel completely parallel and independent from each other. It is shown that the speed of software MTD based on GPU GTX 970 can reach 350 Mbit/s.

关键词： communication systems error-correction coding multithreshold decoder self-orthogonal codes software decoders graphics processing units (GPU) CUDA SDR

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Analytical Estimation of Self-Orthogonal Code multithreshold decoders Efficiency 9

Analytical Estimation of Self-Orthogonal Code Multithreshold...

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9th Mediterranean Conference on Embedded Computing (MECO)

作者： Ovechkin, G., V Grinchenko, N. N. Svetlov, G., V Fokina, N. S. Ryazan State Radio Engn Univ Fac Comp Engn Ryazan Russia RPTP Granit Ryazan Russia

ISBN: (纸本)9781728169491

multithreshold decoders (MTD) of self-orthogonal codes (SOC) for channels with errors as well as erasure channels are discussed. The work offers analytical estimations of MTD efficiency considering SOC structure as well as decoder parameters. These estimations are shown to correspond well with computer simulation results allowing us to estimate the area of MTD efficient operation in the conditions of high noise level.

关键词： error-correction code multithreshold decoder self-orthogonal code binary symmetric channel erasure channel lower bound bit error/erasure rate estimation

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The Performance of multithreshold decoders in Concatenated Schemes Over Erasure Channels 8

The Performance of Multithreshold Decoders in Concatenated S...

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8th Mediterranean Conference on Embedded Computing (MECO)

作者： Zolotarev, V. V. Grinchenko, N. N. Ovechkin, G., V Ovechkin, P., V Russian Acad Sci Space Res Inst Dept 71 Moscow Russia Ryazan State Radio Engn Univ Fac Comp Engn Ryazan Russia

ISBN: (纸本)9781728117393

multithreshold decoders (MTD) of self-orthogonal codes (SOC) for erasure channels implementing error correction methods based on searching global extremum of functions in discrete spaces are considered. To increase the efficiency of erasure recoveries the concatenated codes comprising inner SOC and outer codes being simple for decoding such as parity-check codes, Hamming codes or BCH codes are offered. The usage of the codes offered provides efficient erasure recovery when operating near channel capacity with linear decoder complexity. The questions of high-throughput software MTD implementation recovering erasures using GPU are considered. The MTD versions developed are shown to be able to perform data flow decoding with the rate of several hundred MB/s using GPU.

关键词： error-correction coding multithreshold decoder self-orthogonal code concatenated code parity-check code hamming code BCH code erasure recovering channel capacity GPU implementation

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Cellular and Network Mechanisms for Temporal Signal Propagation in a Cortical Network Model

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FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 2019年 13卷 57页

作者： He, Zonglu Kaetsu Univ Fac Management & Econ Tokyo Japan

The mechanisms underlying an effective propagation of high intensity information over a background of irregular firing and response latency in cognitive processes remain unclear. Here we propose a SSCCPI circuit to address this issue. We hypothesize that when a high-intensity thalamic input triggers synchronous spike events (SSEs), dense spikes are scattered to many receiving neurons within a cortical column in layer IV, many sparse spike trains are propagated in parallel along minicolumns at a substantially high speed and finally integrated into an output spike train toward or in layer Va. We derive the sufficient conditions for an effective (fast, reliable, and precise) SSCCPI circuit: (i) SSEs are asynchronous (near synchronous);(ii) cortical columns prevent both repeatedly triggering SSEs and incorrectly synaptic connections between adjacent columns;and (iii) the propagator in interneurons is temporally complete fidelity and reliable. We encode the membrane potential responses to stimuli using the nonlinear autoregressive integrated process derived by applying Newton's second law to stochastic resilience systems. We introduce a multithreshold decoder to correct encoding errors. Evidence supporting an effective SSCCPI circuit includes that for the condition, (i) time delay enhances SSEs, suggesting that response latency induces SSEs in high-intensity stimuli;irregular firing causes asynchronous SSEs;asynchronous SSEs relate to healthy neurons;and rigorous SSEs relate to brain disorders. For the condition (ii) neurons within a given minicolumn are stereotypically interconnected in the vertical dimension, which prevents repeated triggering SSEs and ensures signal parallel propagation;columnar segregation avoids incorrect synaptic connections between adjacent columns;and signal propagation across layers overwhelmingly prefers columnar direction. For the condition (iii), accumulating experimental evidence supports temporal transfer precision with millisecond fidelity

关键词： nonlinear dynamics time series modeling homeostatic encoder multithreshold decoder all-or-none modulation backpropagation synchronous spiking events cortical minicolumns

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Developing the Principle of Divergent Coding for Gaussian Channels 7

Developing the Principle of Divergent Coding for Gaussian Ch...

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7th Mediterranean Conference on Embedded Computing (MECO)

作者： Valery, Zolotarev Natalya, Grinchenko Alexey, Lotsmanov Gennady, Ovechkin Russian Acad Sci Space Res Inst Dept 71 Moscow Russia Ryazan State Radio Engn Univ Fac Comp Engn Ryazan Russia

ISBN: (纸本)9781538656839

Mutithreshold decoding for convolutional codes implementing optimization methods to correct errors based on the search of global extremum of functionals in discrete spaces are considered. The implementation of divergent coding methods with triple concatenation to achieve highly efficient decoding near channel capacity is described. The possibilities of this approach while using concatenation are shown. Multialgorithmic decoding is offered. It implements the principle of divergence with simultaneous usage of two types of decoders: Viterbi algorithm and multithreshold decoding. The implementation of multialgorithmic decoding is shown to substantially decrease decoding complexity at low signal to noise ratio.

关键词： multithreshold decoder Viterbi algorithm self-orthogonal code divergent coding concatenated code parity-check code Shannon bound channel capacity decoding complexity optimal decoding coding gain multialgorithmic decoding

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Performances of the Decoding Algorithms near Shannon Limit

Performances of the Decoding Algorithms near Shannon Limit

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2019 2nd International Conference on Informatics, Control and Automation (ICA 2019)

作者： Valery ZOLOTAREV Gennady OVECHKIN Dina SATYBALDINA Nurlan TASHATOV Erlanbek OMIRBAYEV Space Research Institute of the Russian Academy of Sciences Ryazan State Radio Engineering University National Research Nuclear University "MIFI" L.N.Gumilyov Eurasian National University

Forward error correction technique based on the optimization procedures for multithreshold decoding algorithms is *** advances as well as new opportunities of the multithreshold decoders for use in the systems working at the Shannon's limit are *** of the multithreshold decoders for self-orthogonal binary and non-binary codes over Gaussian channels are *** results of BER performance of proposed decoder is shown to be close to the results provided by optimum total search methods.

关键词： Coding Theory multithreshold decoder Shannon Limit

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Usage of Divergence within Concatenated multithreshold Decoding Convolutional Codes

Usage of Divergence within Concatenated Multithreshold Decod...

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Advances in Wireless and Optical Communications (RTUWO) Conference

作者： Zolotarev, V. V. Ovechkin, G. V. Ovechkin, P. V. Egamberdiyev, E. Russian Acad Sci Space Res Inst Dept 71 Moscow Russia Ryazan State Radio Engn Univ Dept Computat & Appl Math Ryazan Russia LN Gumilyov Eurasian Natl Univ Dept Comp Engn Astana Kazakhstan

ISBN: (纸本)9781538605851

The present paper has considered multithreshold decoders for self-orthogonal codes providing a near-optimal efficiency of the error correction under linear computational complexity. New divergence principle used within construction and decoding convolutional codes has been discussed. The paper has shown that usage of such principle allows significantly approximating an area of the decoder effective operation to the channel capacity. Application of obtained self-orthogonal codes within construction of concatenated convolutional codes where parity-check codes are used as the outer codes has been indicated, as well as simulation results for the obtained concatenated construction have been represented.

关键词： communication system error-correction coding self-orthogonal code concatenated code parity-check code multithreshold decoder divergent encoding divergent decoding decoder complexity coding gain

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