Distributed Source Coding

Haykin, S.; Liu, K. J. Ray

doi:10.1002/9780470487068.ch19

Cited by 70 publications

(139 citation statements)

References 109 publications

(153 reference statements)

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“…In practice, lossy DSC is usually implemented using a quantizer followed by lossless DSC, while the decoder consists of the joint entropy decoder followed by a joint dequantizer [80]. A brief description of Wyner-Ziv theorem is supplied, since it represents a promising solution for VSN and achieves a comparable performance to that of MPEG.…”

Section: Distributed Source Coding Paradigmmentioning

confidence: 99%

“…Figure 13 shows a schematic diagram of the Wyner-Ziv encoder/decoder. For more information about this subject, the reader is referred to [80].…”

Section: Distributed Source Coding Paradigmmentioning

confidence: 99%

“…For more information on the subject, readers are advised to read [80] or [3]. DSC for VSN, refers to the compression of multiple statistically dependent sensor outputs that do not communicate with each other.…”

Section: Distributed Source Coding Paradigmmentioning

confidence: 99%

See 2 more Smart Citations

A Survey of Image Compression Algorithms for Visual Sensor Networks

Mammeri

Hadjou

Khoumsi

2012

ISRN Sensor Networks

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With the advent of visual sensor networks (VSNs), energy-aware compression algorithms have gained wide attention. That is, new strategies and mechanisms for power-efficient image compression algorithms are developed, since the application of the conventional methods is not always energy beneficial. In this paper, we provide a survey of image compression algorithms for visual sensor networks, ranging from the conventional standards such as JPEG and JPEG2000 to a new compression method, for example, compressive sensing. We provide the advantages and shortcomings of the application of these algorithms in VSN, a literature review of their application in VSN, as well as an open research issue for each compression standard/method. Moreover, factors influencing the design of compression algorithms in the context of VSN are presented. We conclude by some guidelines which concern the design of a compression method for VSN.

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Section: Distributed Source Coding Paradigmmentioning

confidence: 99%

“…Figure 13 shows a schematic diagram of the Wyner-Ziv encoder/decoder. For more information about this subject, the reader is referred to [80].…”

Section: Distributed Source Coding Paradigmmentioning

confidence: 99%

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A Survey of Image Compression Algorithms for Visual Sensor Networks

Mammeri

Hadjou

Khoumsi

2012

ISRN Sensor Networks

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“…It was followed by many improved and more flexible solutions (see [9,10] for reviews). Practical code designs for non-asymmetric SW coding and direct and indirect MT source coding are reported in [7], [11] and references therein.…”

Section: Distributed Source Coding (Dsc)mentioning

confidence: 99%

“…where σ 2 X 1 is the variance of X1(t) (see [9] and references therein). To find Reven1(D1), note that the correlation channel is a Gaussian channel.…”

Section: Then X2(2τ ) Is Recovered Asmentioning

confidence: 99%

Distributed compression for condition monitoring of wind farms

Wang¹,

Cheng²,

Stankovic³

2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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In order to estimate the amount of energy that will be generated by a wind farm and provide efficient power distribution planning, it is necessary to deliver information of wind speed at all wind turbines. This paper proposes a scheme for compressing wind speed measurements exploiting both temporal and spatial correlation between the turbine readings via distributed source coding. The proposed scheme relies on a correlation model based on true measurements. A compression scheme proposed is of low encoding complexity and uses a particle-filtering based belief propagation decoder that adaptively estimates the nonstationary noise of the correlation model. Simulation results using realistic models show significant performance improvements compared to the scheme that does not dynamically refine correlation.

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Distributed Video Coding

Kondoz

2009

Visual Media Coding and Transmission

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Distributed Source Coding

Cited by 70 publications

References 109 publications

A Survey of Image Compression Algorithms for Visual Sensor Networks

A Survey of Image Compression Algorithms for Visual Sensor Networks

Distributed compression for condition monitoring of wind farms

Distributed Video Coding

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