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检索条件"主题词=Distributed source coding"

共 385 条记录，以下是71-80 订阅

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

Energy efficient multirate interaction in distributed source...

引用

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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REDUCED-REFERENCE IMAGE QUALITY ASSESSMENT USING distributed source coding

REDUCED-REFERENCE IMAGE QUALITY ASSESSMENT USING DISTRIBUTED...

引用

IEEE International Conference on Multimedia and Expo (ICME 2008)

作者： Chono, Keiichi Lin, Yao-Chung Varodayan, David Miyamoto, Yoshihiro Girod, Bernd Stanford Univ Informat Syst Lab Stanford CA 94305 USA NEC Corp Ltd Common Platform Software Lab Kawasaki Kanagawa Japan

ISBN: (纸本)9781424425709

This paper presents a reduced-reference image quality assessment scheme using distributed source coding for remotely monitoring image quality. In our scheme, an image server extracts a feature vector from the original image and transmits its Slepian-Wolf syndrome using an LDPC encoder. With the rate of the Slepian-Wolf bitstream chosen according to a predetermined admissible image quality, the receiver can reconstruct the feature vector using its received image, as side information, as long as the quality is higher than the admissible quality. Thus the receiver can determine the received image quality using the reconstructed feature vector. Simulation results show that distributed source coding can reduce the bit-rate of the feature vector by 50% and achieve better compression performance than conventional source coding.

关键词： Image quality assessment distributed source coding LDPC codes

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A distributed source coding for dense camera array

A distributed source coding for dense camera array

引用

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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Efficient distributed source coding for Multiple Receivers Via Matrix Sparsification

Efficient Distributed Source Coding for Multiple Receivers V...

引用

IEEE International Symposium on Information Theory (ISIT)

作者： Avin, Chen Borokhovich, Michael Cohen, Asaf Lotker, Zvi Ben Gurion Univ Negev Dept Commun Syst Engn IL-84105 Beer Sheva Israel

ISBN: (纸本)9781457705953

Consider the problem of source coding with side information in large networks with multiple receivers. In this case, standard coding techniques are either prohibitively complex to decode, or require source-network coding separation, resulting in sub-optimal transmission schemes. To alleviate this problem, we offer a joint network-source coding scheme based on matrix sparsification at the code design phase, which allows the terminals to use an efficient decoding procedure (syndrome decoding using LDPC), despite the network coding throughout the network. Via a novel relation between matrix sparsification and rate-distortion theory, we give lower and upper bounds on the best achievable sparsification performance, and analyze our scheme in the limit of weak side information at the receivers. Simulation results motivate the use of this scheme at non-limiting rates as well.

关键词： Decoding Joints LDPC Network coding Parity check codes Rate-distortion source coding distributed source coding matrix algebra matrix sparsification multiple receivers network coding parity check codes source coding source-network coding syndrome decoding

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Predictive vector quantizer design for distributed source coding

Predictive vector quantizer design for distributed source co...

引用

32nd IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Yahampath, Pradeepa Univ Manitoba Dept Elect & Comp Engn Winnipeg MB R3T 5V6 Canada

ISBN: (纸本)1424407281

This paper investigates the design of a system of predictive vector quantizers for distributed sources with memory, in which linear prediction is used to exploit the source memory, while distributed quantization is used to exploit the correlation between sources. A training-based algorithm is proposed for jointly designing the predictors, binning functions, and reconstruction codebooks of the given system to match the intra and inter-source correlations. In order to demonstrate the effectiveness of the algorithm, experimental results obtained by designing both scalar and vector quantizers for a set of distributed Gauss-Markov sources are presented. While the optimality of these designs is unknown, it is shown that they convincingly outperform several other alternatives.

关键词： distributed source coding vector quantization predictive coding

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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

引用

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

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

引用

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

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

引用

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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