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检索条件"主题词=Distributed coding"

共 113 条记录，以下是81-90 订阅

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Automatic distributed Code Generation from Formal Models of Asynchronous Concurrent Processes 23

Automatic Distributed Code Generation from Formal Models of ...

引用

23rd Euromicro International Conference on Parallel, distributed, and Network-Based Processing (PDP)

作者： Evrard, Hugues Lang, Frederic Univ Grenoble Alpes LIG Inria F-38000 Grenoble France CNRS LIG F-38000 Grenoble France

ISBN: (纸本)9781479984909

Formal process languages inheriting the concurrency and communication features of process algebras are convenient formalisms to model distributed applications, especially when they are equipped with formal verification tools (e.g., model-checkers) to help hunting for bugs early in the development process. However, even starting from a fully verified formal model, bugs are likely to be introduced while translating (generally by hand) the concurrent model-which relies on high-level and expressive communication primitives-into the distributed implementation-which often relies on low-level communication primitives. In this paper, we present DLC, a compiler that enables distributed code to be generated from models written in a formal process language called LNT, which is equipped with a rich verification toolbox named CADP. The generated code can be either executed in an autonomous way (i.e., without requiring additional code to be defined by the user), or connected to external software through user-modifiable C functions. We present an experiment where DLC generates a distributed implementation from the LNT model of the Raft consensus algorithm.

关键词： Distribute process algebra concurrent process Communication Research Code generation Formal verification PROCESS DEVELOPMENT bugs Bugs Codes Hunting Language Processing distributed coding discotic liquid crystals Asynchronous

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An Improvement of Key Frame Processing by an Integration of Compressive Sensing and Intra Prediction of H.264/AVC

An Improvement of Key Frame Processing by an Integration of ...

引用

IEEE Region 10 Symposium

作者： Kurihara, Shin Kikuchi, Hisakazu Niigata Univ Dept Elect & Elect Engn Niigata 9502181 Japan

ISBN: (纸本)9781479920280

A scheme of key frame encoding/decoding is presented for video coding by means of distributed compressive video sensing. The proposed method is referred to as video compressive sensing by intra predictive coding. The experimental result shows that the proposed method reduces the data size of the key frame information transmitted between an encoder and a decoder. It is demonstrated that the method outperforms the conventional DCVS with respect to the code bit size and noise immunity.

关键词： Video coding distributed coding distributed compressive video sensing compressive sensing intra prediction

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MIXED-RESOLUTION distributed VIDEO CODEC WITHOUT MOTION ESTIMATION AT THE ENCODER

MIXED-RESOLUTION DISTRIBUTED VIDEO CODEC WITHOUT MOTION ESTI...

引用

IEEE International Conference on Image Processing

作者： Macchiavello, B. Hung, E. M. de Queiroz, R. L. Mukherjee, D. Univ Brasilia Dept Comp Sci Brasilia DF Brazil Univ Brasilia Dept Elect Engn Brasilia DF Brazil Hewlett Packard Labs Palo Alto CA USA

ISBN: (纸本)9781424479948

Inspired by recent results showing that Wyner-Ziv coding using a combination of source and channel coding may be more efficient than pure channel coding, we have applied coset codes for the source coding part in the transform domain for Wyner-Ziv coding of video. The framework is a mixed-resolution approach where reduced encoding complexity is achieved by low resolution encoding of non-reference frames and regular encoding of the reference frames. Different from our previous works, no motion estimation is carried at the encoder, neither for the low resolution frames nor the reference frames. The entropy coders of the H.264/AVC codec were tuned to improve their performance for encoding the cosets. An encoding mode with lowest encoding complexity than H.264/AVC intra mode is achieved. Experimental results show a competitive rate-distortion performance especially at low bit rates.

关键词： distributed coding Wyner-Ziv cosets zero-motion-vector

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Cloud Wolverine: The fastest data recovery 16

Cloud Wolverine: The fastest data recovery

引用

12th Central and Eastern European Software Engineering Conference in Russia

作者： Evgenii, Anastasiev Aleksei, Marov Svetlana, Lazareva RAIDIX LLC R&D St Petersburg Russia RAIDIX LLC R&D Dept St Petersburg Russia

ISBN: (纸本)9781450348843

Considering data recovery challenges in the cloud infrastructure, this article focuses on application of Local Reconstruction Codes (LRC) and Regenerating Codes (RC) in RAID, and suggests data placement methods for improved recovery performance in case of drive or cluster node failure. Besides, this work presents an efficient method of scaling regenerating codes that allows for RC use in dynamic clusters and optimal recovery speeds.

关键词： Storage systems Availability Local Reconstruction Codes RAID distributed coding Regenerating Codes

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distributed encoding of sensor data

Distributed encoding of sensor data

引用

IEEE Information Theory Workshop

作者： Neuhoff, DL Marco, D Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)0780376293

In this paper, we ignore transmission issues and focus on the total number of bits to transmit to the collector to form a reconstruction of the field with a given MSE. We assume that all sensors can transmit bits to the collector without error. With this assumption, with total number of bits as the cost measure, and with the style of coding, it can be argued that sensor-to-sensor relaying offers no advantages. This problem is similar to image coding and transmission, except that the quantization, encoding and transmission are constrained to take place separately at each sensor (pixel location), in contrast to traditional image coding and transmission, wherein the entire image is available for quantization, encoding, and transmission. Due to the need to separately encode values from separate sensors, we pursue a Slepian-Wolf style coding approach.

关键词： source coding mean square error methods sensor fusion rate distortion theory distributed Encoding sensor data mean squared error distortion MSE Slepian-Wolf style coding separate sensors continuous-time sources rate-distorti Mean square error source coding Sensor Data Rate distortion theory distributed coding Sensor fusion coding Cost Measures image coding

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Towards Optimality in Multiterminal Transform coding

Towards Optimality in Multiterminal Transform Coding

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Data Compression Conference (DCC)

作者： Akyol, Emrah Rose, Kenneth Univ Calif Santa Barbara Santa Barbara CA 93106 USA

ISBN: (纸本)9780769546568

This paper is concerned with transform coding of correlated sources in conjunction with variable rate quantization at high resolution. The approach builds on our prior work on optimality conditions for transform coding in the point-to-point setting. The first contribution involves transform coding with decoder side information. In this setting, side information is only available to the decoder, whereas the encoder knows the joint statistics. The necessary and sufficient condition for optimality of a unitary transform in the side information setting is derived, namely, such transform minimizes a conditional divergence-based measure of inter-dependence of the transform coefficients, given the side information. This optimality result subsumes prior, known results that were restricted to the Gaussian case, where the conditional Karhunen-Loeve transform is optimal. The second contribution involves distributed transform coding, where two correlated sources are to be transform coded separately, but decoded jointly. The necessary and sufficient condition for optimality of unitary transforms in the distributed coding setting is derived. It is then specialized to produce closed form optimal transforms for specific source densities, including the case of jointly Gaussian sources.

关键词： distributed coding transform coding

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distributed estimation;Three theorems

Distributed estimation;Three theorems

引用

IEEE Information Theory Workshop

作者： Zia, Amin Reilly, James P. Shirani, Shahram McMaster Univ Dept ECE Hamilton ON Canada

ISBN: (纸本)9781424415632

In distributed coding of two correlated discrete sources, the objective is to reconstruct the sources' symbols at a common decoder. In contrast, in distributed estimation the main goal of coding is to protect the relevant information about the source parameters of interest. Thus it is useful to determine the rates under which the distributed estimator can achieve the same accuracy as it can in local estimation. In this paper we show that for fixed parameters, the rates in the Slepian-Wolf region is not only sufficient but also necessary for efficient estimation. The simple proof based on the method of types and large deviation theory leads to derivation of a lower-bound on the region of rates for a large class of bivariate sources.

关键词： distributed coding Distribute Theorem coding derivation

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Decoding and Convergence Analysis for distributed Low Density Lattice Codes 17

Decoding and Convergence Analysis for Distributed Low Densit...

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17th International Symposium on Wireless Communication Systems (ISWCS)

作者： Wang, Xuebo Mow, Wai Ho Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Clear Water Bay Hong Kong Peoples R China

ISBN: (纸本)9781728174327

distributed low density lattice codes (D-LDLCs) have been proposed for application in cooperative communication networks. D-LDLCs are able to achieve a higher coding gain than LDLCs under the same code length and transmission power. However, an efficient decoder for D-LDLCs is still lacking. The state-of-the-art message passing decoder for LDLCs can be extended to decode D-LDLCs, but its complexity analysis requires an asymptotic characterization of the decoding behavior in terms of the convergence of the message variances. In this paper, we prove that as the number of iterations tends to infinity, the message variances converge to some constants determined by the code parameters of D-LDLCs. Based on the convergence analysis of message variances, we can further show that the extended decoder achieves linear complexity with respect to the column degree of the D-LDLC check matrix.

关键词： low density lattice codes distributed coding message passing decoding complexity

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MIMO Cooperation Schemes for Uplink of Future Railway Communication Systems 31

MIMO Cooperation Schemes for Uplink of Future Railway Commun...

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31st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC)

作者： Amis, Karine Galezowski, Thomas Lagrange, Xavier IMT Atlantique UMR CNRS 6285 Lab STICC Brest France Soc Grand Paris Paris France IMT Atlantique UMR CNRS 6074 IRISA Rennes France

ISBN: (纸本)9781728144900

In this paper, we consider the uplink of a railway communication system with onboard mobile relays. Each onboard relay communicates with two cooperating base stations at the ends of the section along which the train is moving. Each carriage is equipped with two distinct antenna arrays. We design transmit coding schemes distributed between the antenna arrays and we apply receive macrodiversity. Simulations show that the proposed schemes enable to maintain transmission quality and throughput as the carriage moves along the section.

关键词： MIMO systems railway communications mobile relay macrodiversity distributed coding

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Rate-Distortion Behavior at Low Distortion for Densely Sampled Gaussian Data

Rate-Distortion Behavior at Low Distortion for Densely Sampl...

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IEEE International Symposium on Information Theory

作者： Neuhoff, David L. Pradhan, S. Sandeep Univ Michigan Dept EECS Ann Arbor MI 48109 USA

ISBN: (纸本)9781467325790

It is well known that for discrete-time, stationary sources, most lossy source coding techniques have operational rate-distortion functions that approach the Shannon rate-distortion function with respect to squared error to within an additive constant as distortion approaches zero. With the goal of investigating similar phenomena for continuous-time sources, this paper investigates the low-distortion performance of distributed coding of continuous-time, stationary, Gaussian sources based on high-rate sampling. It is found that for bandlimited sources and nonbandlimited sources whose spectra have sufficiently light, e.g., exponentially decreasing, tails, distributed source coding is asymptotically as good as centralized coding in the small distortion regime. On the other hand, for spectra with tails that decay as a power (greater than one) of frequency, it is found that for small distortions the distributed rate-distortion function is a constant times larger than the Shannon rate-distortion, where the constant decreases as the power increases. For example, it is approximately 1.2 when the power is 2. The conclusion is that for a stationary Gaussian source and asymptotically small distortion, the ratio of the distributed to centralized rate-distortion function is a function of the weight of the tail of the source spectrum. In the process of finding the ratio, the low distortion form of the centralized rate-distortion function is found for sources whose spectra have exponential and power law tails.

关键词： low distortion Rate distortion Spectra distributed coding additive constant Energy sources quadratic errors Gauss distortion asymptotic

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