We present a practical distributed source coding scheme for deployable wireless sensor networks. To the best of our knowledge it is the first-of-its-kind practical scheme implemented and evaluated in time-varying envi...
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We present a practical distributed source coding scheme for deployable wireless sensor networks. To the best of our knowledge it is the first-of-its-kind practical scheme implemented and evaluated in time-varying environments. The solution developed is particularly appropriate for monitoring and surveillance applications in which energy consumption and bandwidth usage are of paramount importance. We also report on the entropy tracking algorithm based on varying spatial correlations and adaptive code rate assignments. The performance results obtained from the experiments show the promises of practical distributed source coding in the sensor network context.
Reliable transmission of 3D video signals is nowadays an interesting research issue both for the new coding challenges that three-dimensional video signals pose and for the wide diffusion of multimedia communications ...
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Reliable transmission of 3D video signals is nowadays an interesting research issue both for the new coding challenges that three-dimensional video signals pose and for the wide diffusion of multimedia communications over wireless networks. In order to deal effectively with packet losses over radio channels, several robust source coding schemes have been proposed. This article presents a reconfigurable and flexible architecture (named Cognitive source Coder in analogy with Cognitive Radio systems) that implements different robust source coding solutions and adaptively adopts them according to channel conditions. The proposed approach permits improving the quality of the 3D scene reconstructed at the end terminal with respect to the corresponding non-adaptive approaches.
A source coding and modulation technique for reducing multiple access interference (MAI) as well as for reducing power consumption in DS-CDMA wireless sensor network systems is presented. source symbols are represente...
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A source coding and modulation technique for reducing multiple access interference (MAI) as well as for reducing power consumption in DS-CDMA wireless sensor network systems is presented. source symbols are represented by a special coding, termed minimum energy coding (ME coding), which exploits redundant bits for saving power when transmitted via RF links with on-off-keying. Since energy is consumed mostly when high bits are transmitted, the ME coding represents source symbols with the least number of high bits, given an extended word length. When each channel uses the ME coding combined with a spreading code and OOK, fewer high bits are transmitted. It is shown that signal-to-noise ratio is significantly increased and that the error probability is lowered as well. First, the communication system architecture of this low MAI DS-CDMA is described, followed by the principle of interference reduction. Second, a signal model is obtained for the new source coding and transmission process. Third, guidelines for designing the length of codeword, the number of communication channels, and power efficiency are obtained. A RF sensor network system is designed.
The continuity property of achievable rate regions for source coding over networks is considered. We show rate- distortion regions are continuous with respect to distortion vectors. Then we focus on the continuity of ...
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The continuity property of achievable rate regions for source coding over networks is considered. We show rate- distortion regions are continuous with respect to distortion vectors. Then we focus on the continuity of lossless rate regions with respect to source distribution: First, the proof of continuity for general networks with independent sources is given; then, for the case of dependent sources, continuity is proven both in examples where one-letter characterizations are known and in examples where one-letter characterizations are not known; the proofs in the latter case rely on the concavity of the rate regions for those networks.
Distributed source coding techniques enable distributed receivers to independently compress samples to a rate above the Slepian-Wolf bound, by leveraging statistical correlations between different receivers observatio...
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ISBN:
(纸本)9781467385770
Distributed source coding techniques enable distributed receivers to independently compress samples to a rate above the Slepian-Wolf bound, by leveraging statistical correlations between different receivers observations. The wireless channel can impose many compression challenges, such as unknown or dynamic compression bounds due to time-varying fading and mobility. This work derives a novel rate adaptive non-binary distributed source coding scheme which is motivated by these challenges. Applications are derived for distributed detection and distributed multiple-input multiple-output (MIMO) reception. Results demonstrate strong performance with these applications along with near-bound compression at various SNR levels and channel realizations.
Polar codes, introduced recently by Arikan, are the first family of codes known to achieve capacity of symmetric channels using a low complexity successive cancellation decoder. Although these codes, combined with suc...
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ISBN:
(纸本)9781424443123
Polar codes, introduced recently by Arikan, are the first family of codes known to achieve capacity of symmetric channels using a low complexity successive cancellation decoder. Although these codes, combined with successive cancellation, are optimal in this respect, their finite-length performance is not record breaking. We discuss several techniques through which their finite-length performance can be improved. We also study the performance of these codes in the context of source coding, both lossless and lossy, in the single-user context as well as for distributed applications.
For a general class of Gaussian network source coding problems for which no single-letter characterization of the rate-distortion region is known, it is shown that the rate- distortion region is inner semicontinuous w...
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ISBN:
(纸本)9781424422562
For a general class of Gaussian network source coding problems for which no single-letter characterization of the rate-distortion region is known, it is shown that the rate- distortion region is inner semicontinuous with respect to the source distribution. This semicontinuity theorem is used to obtain two new results, one for the Gaussian many-help-one problem and one for the Gaussian robust distributed source coding problem.
Serially concatenated and iteratively decoded irregular variable length coding (IrVLC) combined with preceded fast frequency hopping (FFH) M-ary frequency shift keying (MFSK) is considered. The proposed joint source a...
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Serially concatenated and iteratively decoded irregular variable length coding (IrVLC) combined with preceded fast frequency hopping (FFH) M-ary frequency shift keying (MFSK) is considered. The proposed joint source and channel coding scheme is capable of low signal-to-noise ratio (SNR) operation in Rayleigh fading channels contaminated by partial band noise jamming (PBNJ). The IrVLC scheme is comprised of a number of component variable length coding (VLC) codebooks employing different coding rates for encoding particular fractions of the input source symbol stream. These fractions may be chosen with the aid of extrinsic information transfer (EXIT) charts in order to shape the inverted EXIT curve of the IrVLC codec so that it can be matched with the EXIT curve of the inner decoder. We demonstrate that using the proposed scheme near-zero bit error ratio may be achieved at low SNR values and the IrVLC based scheme yields a further gain of up to 0.3 dB over the identical-rate single-class VLC based benchmarker scheme
We introduce context modeling into the distributed source coding (DSC). By forming contexts from prior coded bitplanes of both the reference and DSC coded peer, we split the virtual channel between the two correlated ...
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We introduce context modeling into the distributed source coding (DSC). By forming contexts from prior coded bitplanes of both the reference and DSC coded peer, we split the virtual channel between the two correlated bitplanes into several virtual sub-channels of different characteristics. The selection of the sub-channel becomes side information that is known to the receiver. As a result, the DSC coding bitrate is reduced. We also investigate a number of practical implementation issues in DSC; e.g., the use of turbo-based channel code vs. the LDPC-based channel code, and the use of a random flipper to handle the binary asymmetric channel. We implemented a practical DSC audio coding system. We show that DSC without context modeling shows little performance gain compared with separate source coding with context modeling. In comparison, context DSC achieves an overall rate saving of 36%, even as we only applied DSC on a selected number of bitplanes, and considering the channel code loss in practical implementation
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