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检索条件"主题词=Joint source-channel coding"

共 619 条记录，以下是571-580 订阅

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On the Analysis of Energy-Distortion Tradeoff for Zero-Delay Transmission over Gaussian Broadcast channels

On the Analysis of Energy-Distortion Tradeoff for Zero-Delay...

引用

IEEE International Symposium on Information Theory (ISIT)

作者： Sevinc, Ceren Tuncel, Ertem Univ Calif Riverside Dept Elect & Comp Enginering Riverside CA 92521 USA

ISBN: (纸本)9781538692912

Asymptotic energy-distortion performance of zero-delay communication under Gaussian broadcasting is investigated. The analysis can be motivated by the scenario where the same internet of things (IoT) device is transmitting its measurements to multiple control units that are experiencing varying noise levels. Using high-resolution analysis for quantizer design coupled with orthogonal signaling, the higher-order term in the negative logarithm of the distortion, termed the energy-distortion dispersion, is optimized while keeping the leading term, the energy-distortion exponent, at its optimal value for the zero-delay regime.

关键词： Broadcast channels energy-distortion dispersion energy-distortion tradeoff high-resolution quantization theory joint source-channel coding succesive refinement zero-delay

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Distributed scalar quantizers for noisy channels

Distributed scalar quantizers for noisy channels

引用

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

作者： Karlsson, Johannes Wernersson, Niklas Skoglund, Mikael Royal Inst Technol Sch Elect Engn SE-10044 Stockholm Sweden

ISBN: (纸本)1424407281

Sensor nodes in wireless sensor networks should preferable be both cheap and energy efficient. To cope with these requirements an algorithm for designing distributed scalar quantizers optimized for noisy channels is proposed and evaluated. Applying the algorithm results in locally optimal systems. It is demonstrated that the correlation between the sources can be used to reduce the quantization distortion when the channel is close to error-free. If, on the other hand, there are a lot of disturbances on the channel the correlation can be used to introduce protection against channel errors.

关键词： multisensor systems distributed estimation quantization joint source-channel coding

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A Measure for the Missed Error Detection Probability for Optimizing the Forbidden Symbol Configuration in joint source-channel Arithmetic Codes

A Measure for the Missed Error Detection Probability for Opt...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Kourkchi, Hossein Lynch, William E. Ahmad, M. Omair Concordia Univ Dept Elect & Comp Engn 1455 Maisonneuve Blvd W Montreal PQ H3G 1M8 Canada

ISBN: (纸本)9781479953417

In joint source-channel arithmetic coding, a forbidden symbol (FS) is added to the symbol set to make it more robust against transmission errors. By splitting the interval occupied by the FS into subintervals, various configurations are possible. In this paper, the delay probability function (DPF), the probability of the number of bits required to detect an error, is calculated for various FS configurations. A figure of merit is also proposed for optimizing the FS configuration. It determines the probability of missed error detection (PMD). Simulations are carried out by employing a breadth-first suboptimal sequential MAP. The simulation results show the effectiveness of the proposed figure of merit, and support the FS configuration in which the FS interval lies entirely between the other information carrying symbols to be the best.

关键词： Arithmetic coding maximum a posteriori (MAP) joint source-channel coding missed error detection

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A Novel Layered Error Resilient Method for SPIHT-Coded Images over Packet Networks

A Novel Layered Error Resilient Method for SPIHT-Coded Image...

引用

International Conference on Industry, Information System and Material Engineering

作者： Sun, WenZhu Wang, HongYu Wang, Jie Dalian Univ Technol Fac Elect Informat & Elect Engn Dalian 116023 Peoples R China

ISBN: (纸本)9783037850275

This paper presents a layered error resilient scheme for Set Partitioning in Hierarchical Trees (SPIHT) coding which incorporates the Multiple Description coding (MDC) into the data partition. The major feature of this scheme is that the MDC is adopted in the process of packetizing the spatial orientation trees, so as to protect the important information bits according to different importance and channel state. The proposed scheme can allocate redundancy accurately and flexibly, by differentiating importance of bits through different bit planes. Experimental results show that the proposed method achieves good performance over packet erasure channels.

关键词： Error-resilience multiple description coding bit plane coding set partitioning in hierarchical trees (SPIHT) joint source-channel coding

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COOPERATIVE LEARNING VIA FEDERATED DISTILLATION OVER FADING channelS

COOPERATIVE LEARNING VIA FEDERATED DISTILLATION OVER FADING ...

引用

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

作者： Ahn, Jin-Hyun Simeone, Osvaldo Kang, Joonhyuk Korea Adv Inst Sci & Technol Daejeon South Korea Kings Coll London London England

ISBN: (纸本)9781509066315

Cooperative training methods for distributed machine learning are typically based on the exchange of local gradients or local model parameters. The latter approach is known as Federated Learning (FL). An alternative solution with reduced communication overhead, referred to as Federated Distillation (FD), was recently proposed that exchanges only averaged model outputs. While prior work studied implementations of FL over wireless fading channels, here we propose wireless protocols for FD and for an enhanced version thereof that leverages an offline communication phase to communicate "mixed-up" covariate vectors. The proposed implementations consist of different combinations of digital schemes based on separate source-channel coding and of over-the-air computing strategies based on analog joint source-channel coding. It is shown that the enhanced version FD has the potential to significantly outperform FL in the presence of limited spectral resources.

关键词： Distributed training machine learning federated learning joint source-channel coding

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BANDWIDTH-REDUCTION ANALOG MAPPINGS FOR AWGN channelS WITH SIDE INFORMATION

BANDWIDTH-REDUCTION ANALOG MAPPINGS FOR AWGN CHANNELS WITH S...

引用

20th European Signal Processing Conference (EUSIPCO)

作者： Alustiza, Iker Erdozain, Aitor Crespo, Pedro Beferull-Lozano, Baltasar Un Navarra Tecnun Manuel de Lardizabal 15 San Sebastian 20018 Spain Univ Valencia Inst Robot Technol Informt & las Comun Valencia 46980 Spain

ISBN: (纸本)9781467310680

Recently, the joint source-channel coding schemes based on analog mappings have gained prominence. Their simplicity and low delay compared to other coding strategies make them more suitable for real-time applications. In this work, we propose a novel joint source-channel coding scheme, based also on analog mappings, for a point-to-point communication channel with side information at the receiver (also known as Wyner-Ziv scenario).

关键词： joint source-channel coding Wyner-Ziv scenario analog mappings

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Robust image transmission strategies for fading channels

Robust image transmission strategies for fading channels

引用

3rd International Conference on Information and Communication Technologies

作者： Boeglen, Herve Haeberle, Olivier Chatellier, Christian Olivier, Christian IUT Mulhouse Lab MIPS LABEL 61 Rue Albert Camus F-68093 Mulhouse France UMR CNRS 6172 Lab SIC XLIM F-86962 Futuroscope France

ISBN: (纸本)9781424417513

The aim of this paper is to present a robust still-image transmission scheme and show its performance when used on a frequency flat fading channel. By following a joint source-channel coding approach, it is shown that image transmission with good visual quality is possible even with BER as high as 4%. Furthermore, this scheme only requires 26% redundancy for Error Control coding (ECC). The ECC part can be completed by an original PDE-based restoration algorithm to further improve the visual quality of the image.

关键词： joint source-channel coding image transmission image compression fading channels

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Power-bandwidth-distortion scaling laws for sensor networks

Power-bandwidth-distortion scaling laws for sensor networks

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3rd International Symposium on Information Processing in Sensor Networks

作者： Gastpar, M Vetterli, M Univ Calif Berkeley Dept EECS Berkeley CA 94720 USA

ISBN: (纸本)1581138466

The goal of a class of sensor networks is to monitor an underlying physical reality at the highest possible fidelity. Sensors acquire noisy measurements and have to communicate them over a power- and possibly bandwidth-constrained interference channel to a set of base stations. The goal of this paper is to analyze, as a function of the number of sensors, the trade-offs between the degrees of freedom of the underlying physical reality, the communication resources (power, temporal and spatial bandwidth), and the resulting distortion at which the physical reality can be estimated by the base stations. The distortion can be expressed as the sum of two fundamentally different terms. The first term reflects the fact that the measurements are noisy. It depends on the number of sensors and on their locations, but it cannot be influenced by the communication resources. The second contribution to the distortion can be controlled by the communication resources, and the key question becomes: What resources are necessary to make it decay at least as fast as the first distortion term, as a function of the number of sensors? This question is answered threefold: First, a lower bound to the power-bandwidth trade-off is derived, showing that at least a constant to linearly increasing total power is required for typical cases (as a function of M). But is this also sufficient? In the second answer, communication strategies are considered where each sensor applies the best possible distributed compression algorithm, followed by capacity-achieving channel codes. For such a separation strategy, it is shown for typical cases that the power must increase exponentially as a function of the number of sensors, suggesting that the lower bound derived in this paper is far too optimistic. However, in the third answer, it is shown that this is not the case: For some example scenarios, the power requirements of the lower bound are indeed achievable, but joint source-channel coding is required. Fina

关键词： sensor networks OPTA (optimum performance theoretically attainable) joint source-channel coding separation theorem

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Robust Gaussian JSCC Under the Near-Infinity Bandwidth Regime with Side Information at the Receiver

Robust Gaussian JSCC Under the Near-Infinity Bandwidth Regim...

引用

IEEE International Symposium on Information Theory (ISIT)

作者： Baniasadi, Mohammadamin Tuncel, Ertem Univ Calif Riverside Riverside CA 92521 USA

ISBN: (纸本)9781538682098

In this paper, minimum energy required to achieve a distortion-noise profile is studied for robust transmission of Gaussian sources over Gaussian channels when there is side information about the source at the receiver. The distortion-noise profile is a function indicating the maximum allowed distortion value for each channel noise level and side information quality, where neither are known at the transmitter. It is shown here that uncoded transmission is optimal for (inversely) linear profiles. Turning then to staircase profiles, a proposed coding scheme is studied to obtain an upper bound to the minimum energy needed. Conversely, a general family of lower bounds is derived for the minimum required energy and compared against the upper bound.

关键词： Bandwidth expansion distortion-noise profile fidelity-quality profile joint source-channel coding energy-distortion tradeoff side information

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Control over Low-Rate Noisy channels

Control over Low-Rate Noisy Channels

引用

作者： LEI BAO KTH Royal Institute of Technology

学位级别：博士

Networked embedded control systems are present almost everywhere. A recent trend is to introduce radio communication in these systems to increase mobility and flex- ibility. Network nodes, such as the sensors, are often simple devices with limited computing and transmission power and low storage capacity, so an important prob- lem concerns how to optimize the use of resources to provide sustained overall sys- tem performance. The approach to this problem taken in the thesis is to analyze and design the communication and control application layers in an integrated man- ner. We focus in particular on cross-layer design techniques for closed-loop control over non-ideal communication channels, motivated by future control systems with very low-rate and highly quantized sensor communication over noisy links. Several fundamental problems in the design of source–channel coding and optimal control for these systems are discussed. The thesis consists of three parts. The first and main part is devoted to the joint design of the coding and control for linear plants, whose state feedback is trans- mitted over a finite-rate noisy channel. The system performance is measured by a finite-horizon linear quadratic cost. We discuss equivalence and separation proper- ties of the system, and conclude that although certainty equivalence does not hold in general it can still be utilized, under certain conditions, to simplify the overall design by separating the estimation and the control problems. An iterative opti- mization algorithm for training the encoder–controller pairs, taking channel errors into account in the quantizer design, is proposed. Monte Carlo simulations demon- strate promising improvements in performance compared to traditional approaches. In the second part of the thesis, we study the rate allocation problem for state feedback control of a linear plant over a noisy channel. Optimizing a time-varying communication rate, subject to a maximum average-rate constraint, can b

关键词： sensor networks linear quadratic cost stochastic control joint source-channel coding joint coding and control rate allocation soft source decoding

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