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检索条件"主题词=Distributed source coding"

共 383 条记录，以下是71-80 订阅

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Adaptive distributed source coding over Erasure Channels using Particle-based Belief Propagation

Adaptive Distributed Source Coding over Erasure Channels usi...

引用

IEEE Global Telecommunications Conference (GLOBECOM 2010)

作者： Cui, Lijuan Wang, Shuang Cheng, Samuel Univ Oklahoma Sch Elect & Comp Engn Tulsa OK 74135 USA

ISBN: (纸本)9781424456383

This paper addresses the problem of distributed source coding (DSC) of binary sources with unknown varying correlation statistics over erasure channels. We propose an adaptive asymmetric Slepian-Wolf (SW) decoding scheme using particle-based belief propagation (BP) based on Raptor codes. We show through the experiments that the proposed algorithm can simultaneously reconstruct the compressed sources and estimate the correlation between source and side information. Moreover, compared to the conventional Raptor decoder, the proposed approach can achieve a higher compression ratio and provide stronger erasure protection under unknown varying correlation statistics. The ability to estimate the statistical correlation in the code structure makes our approach very useful for real applications.

关键词： distributed source coding Raptor codes Adaptive decoding

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Energy efficient multirate interaction in distributed source coding and wireless sensor network

Energy efficient multirate interaction in distributed source...

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IEEE Wireless Communications and Networking Conference

作者： Wang, Wei Peng, Dongming Wang, Honggang Sharif, Hamid Chen, Hsiao-Hwa Univ Nebraska Lincoln NE 68588 USA Natl Sun Yat Sen Univ Kaohsiung 80424 Taiwan

ISBN: (纸本)9781424406586

distributed source coding (DSC) based signal processing applications involve data transmissions at multirates in Wireless Sensor Network (WSN). In this paper, we propose a novel cross layer approach in WSN to achieve energy efficiency using multirates desirable for the DSC based signal processing applications and current network conditions. Our approach can be summarized into two parts: first, energy efficient multirate MAC-PHY supporting DSC applications;and second, rate oriented interaction of MAC-PHY and DSC applications. Multirate MAC-PHY utilizes desirable Bit Error Rate (BER), channel attenuation, corresponding modulation schemes, and multirate requirements, to determine the minimum desirable transmission power. Rate oriented interaction provides optimal transmission rates feedback to interact with DSC applications, making DSC applications adaptively adjust information coding rate according to network conditions. This interactive approach achieves further energy saving significantly by making the DSC application aware of WSN conditions. Besides DSC, this work can be easily extended to other multirate signal processing applications in WSN.

关键词： energy efficiency multirate optimization wireless sensor network distributed source coding

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A distributed source coding for dense camera array

A distributed source coding for dense camera array

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7th International Conference on Signal Processing

作者： Hu, L Liu, YH Yao, QD Zhejiang Univ Inst Informat & Commun Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)7121002159

According to the Wyner-Ziv theorem, two correlated sources can be compressed to similar extent no matter whether they communicate with each other or not, provided that the decoder have both compressed outputs available. In this paper. a distributed coding technique for images captured from camera array is proposed based on Wyner-Ziv coding. The proposed scheme made independent encoding, good compression efficiency and low complexity available at the encoder at the expense of a more complex decoder. Experimental result shows that proposed scheme is very suit for distributed camera array compared with conventional coding-techniques such as JPEG.

关键词： camera array distributed source coding image compression

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MULTIRATE distributed source coding IN WIRELESS SENSOR NETWORK USIND LDPC CODES

MULTIRATE DISTRIBUTED SOURCE CODING IN WIRELESS SENSOR NETWO...

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22nd IEEE Canadian Conference on Electrical and Computer Engineering

作者： Rezayi, Elham Abolhassani, Bahman Iran Univ Sci & Technol Tehran Iran

ISBN: (纸本)9781424435098

Energy conservation in wireless sensor networks (WSNs) is the primary performance parameter, because of their limited energy resources. Thus, some energy saving technologies should be applied. One of these technologies for WSNs is distributed source coding (DSC), related to correlation between sensor outputs. In this paper, we propose to apply multirate distributed source coding to reduce energy consumption for a target BER value. Low Density Parity Check (LDPC) code is one of the practical codes that can be used for DSC to compress close to Slepian-Wolf limit. The simulation results for codes of length 1000 and three different compression ratios show that the proposed multirate approach achieves better energy efficiency rather than a single rate code with similar maximum BER value.

关键词： wireless sensor networks distributed source coding Multirate coding Low-Density Parity-Check

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On secure distributed source coding

On secure distributed source coding

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IEEE Information Theory Workshop

作者： Prabhakaran, Vinod Ramchandran, Kannan Univ Calif Berkeley Dept EECS Wireless Fdn Berkeley CA 94720 USA

ISBN: (纸本)9781424415632

Exploiting correlated observations at multiple remote nodes for generating a secret common randomness to facilitate secure communication of data between the terminals has been addressed by many authors [1][2][3]. But in many applications such as sensor networks, the correlated observations might themselves be the data that need to be communicated. We address this problem of secure distributed source coding where we want to leak the least amount of information about the sources to an eavesdropper who may have access to a correlated observation of its own and who can listen in on the communication between the distributed encoders. The focus here is on minimizing the amount of information revealed to the eavesdropper rather than on minimizing the rate required to effect the communication.

关键词： distributed source coding Communication Research Communication system security Secure remote node information Information source

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Compression of the Interferential Multispectral Image Based on distributed source coding

Compression of the Interferential Multispectral Image Based ...

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Conference on Satellite Data Compression, Communications and Archiving IV

作者： Song, Juan Li, Yunsong Wu, Chengke Feng, Ying Xidian Univ State Key Lab ISN Xian 710071 Peoples R China

ISBN: (纸本)9780819473042

A novel compression method for interferential multispectral images based on distributed source coding is proposed. Slepian-Wolf and Wyner-Ziv theorems on source coding with side information are taken as the basic coding principles. In our system, a rate control solution is proposed to avoid the feedback channel used in many practical distributed source coding solutions. The residual statistics between corresponding coefficients in original frame and the side information frame is assumed to be modeled by Laplacian distribution. We estimate the distribution parameter on line at the encoder at subband levels. The experimental results show that our method outperforms significantly over JPEG2000, especially at medium and low bit rates,the method can obtain about 5dB gains than JPEG2000, and the subjective quality is obviously enhanced.

关键词： interferential multispectral image distributed source coding rate control correlation modeling

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A model-based approach to correlation estimation in wavelet-based distributed source coding with application to hyperspectral imagery

A model-based approach to correlation estimation in wavelet-...

引用

IEEE International Conference on Image Processing (ICIP 2006)

作者： Cheung, Ngai-Man Ortega, Antonio Univ So Calif Inst Signal & Image Proc Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)9781424404810

In many practical distributed source coding (DSC) applications correlation information has to be obtained at the encoder in order to determine the encoding rate. coding efficiency depends strongly on the accuracy of this correlation estimation, which often has to be performed under rate and complexity constraints. In this paper we focus on correlation estimation for wavelet-based DSC. We extend our previously proposed model-based estimation techniques, which provided accurate estimates of bit-plane level correlation under rate constraints, in the simple case where bit-planes are generated from the binary representation of the sources. To extend the model-based approach to wavelet-based DSC, we need to address two issues. Firstly, in order to improve coding efficiency, bit-planes are typically generated by more sophisticated algorithms in wavelet-based DSC (e.g., by deciding on the bitplane scan order based on coefficient "significance"), which makes model-based estimation more challenging. Secondly, certain wavelet subbands may not have enough coefficients for reliable model estimation, so that model-based techniques alone may not be sufficiently accurate. We propose solutions to these problems and, using a DSC-based hyperspectral image system as example, we demonstrate that model-based estimation can lead to efficient system implementation with lower computational and data exchange requirements, and improved parallelism, while incurring only small degradation in coding efficiency.

关键词： distributed source coding Slepian-Wolf correlation estimation hyperspectral image

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EMBEDDED CROSS-DEcoding SCHEME FOR MULTIPLE DESCRIPTION BASED distributed source coding 22

EMBEDDED CROSS-DECODING SCHEME FOR MULTIPLE DESCRIPTION BASE...

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22nd European Signal Processing Conference (EUSIPCO)

作者： Ceulemans, Beerend Satti, Shahid M. Deligiannis, Nikos Verbist, Frederik Munteanu, Adrian Vrije Univ Brussel Dept Elect & Informat Pl Laan 2 Brussels Belgium iMinds VZW Dept Future Media & Imaging Ghent Belgium

ISBN: (纸本)9780992862619

Using multiple description (MD) coding mechanisms, this paper proposes a novel coding framework for error-resilience in distributed source coding (DSC) in sensor networks. In particular, scalable source descriptions are first generated using a symmetric scalable MD scalar quantizer. These descriptions are then layered Wyner-Ziv (WZ) coded using low-density parity-check accumulate (LDPCA) -based syndrome binning. The decoder consists of two side decoders which attempt to iteratively decode their respective description at various LDPCA puncturing rates in the presence of a correlated side information. A central decoder exploits the inter-description correlation to further enhance the WZ rate-distortion performance when both descriptions are partially or fully received. In contrast to earlier work, our proposed decoding scheme also exploits the correlation that exists between bit-planes. Experimental simulations reveal that, for a Gaussian source, the proposed system yields a performance improvement of roughly 0.66 dB when compared to not exploiting inter-description correlations.

关键词： multiple description coding distributed source coding cross-decoding layered Wyner-Ziv coding

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New distributed source coding Scheme based on LDPC Codes with source Revealing Rate-Adaptation

New Distributed Source Coding Scheme based on LDPC Codes wit...

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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)

作者： Shin, Sang-Yun Jang, Min Kang, Jin Whan Kim, Sang-Hyo Sungkyunkwan Univ Sch Informat & Commun Engn Suwon 440746 South Korea

ISBN: (纸本)9781457702518

In this paper, we propose a new distributed source coding (DSC) scheme based on Low-Density Parity-Check (LDPC) codes with source revealing rate-adaptation. This scheme consists of LDPC codes which are well designed at their respective operating rates. The member codes do not need to be designed with any rate-adaptation criterion. Instead, when decoding fails, source revealing method is used. Numerical results show that the proposed scheme performs within average 5.6% of the Slepian-Wolf bound over the entire compression rate region. The decoding complexity also dramatically decreases by 57%.

关键词： Correlation Decoding Error correction codes Indexes LDPC codes Parity check codes Slepian-Wolf bound source coding compression rate region decoding decoding complexity distributed source coding low-density parity-check codes parity check codes rate-adaptation criterion source coding source revealing rate-adaptation

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ROBUST AND FAST NON ASYMMETRIC distributed source coding USING TURBO CODES ON THE SYNDROME TRELLIS

ROBUST AND FAST NON ASYMMETRIC DISTRIBUTED SOURCE CODING USI...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Toto-Zarasoa, V. Roumy, A. Guillemot, C. Herzet, C. INRIA F-35042 Rennes France

ISBN: (纸本)9781424423538

We consider the distributed compression of two (binary memoryless) correlated sources and propose a unique codec that can reach any point in the Slepian-Wolf region. In a previous method based on channel codes, the decoder multiply the compressed data by an inverse submatrix of the code. This multiplication presents two drawbacks. First, if turbo codes are used, the submatrix has no periodic structure SA. the whole inverse has to be stored and no fast implementation exists for the multiplication. Second, this multiplication may lead to error propagation. In this paper, we propose a method that is both robust and fast.

关键词： distributed source coding channel coding linear block codes turbo codes

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