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检索条件"主题词=Joint Source-channel coding"

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Optimal distributed linear transceivers for sending independently corrupted copies of a colored source over the Gaussian MAC

Optimal distributed linear transceivers for sending independ...

引用

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

作者： Dabeer, Onkar Roumy, Aline Guillemot, Christine Tata Inst Fundamental Res Sch Technol & Comp Sci Homi Bhabha Rd Bombay 400005 Maharashtra India INRIA IRISA F-35042 Rennes France

ISBN: (纸本)1424407281

We consider distributed linear transceivers for sending a second-order wide-sense stationary process observed by two noisy sensors over a Gaussian multiple-access channel (MAC). We derive the minimum mean-square error (MSE) distributed linear transceiver. The optimal linear transmitter exploits bandwidth expansion by repeating transmission and the transmitters at the two sensors are the same except for a constant factor. When the source is white, uncoded transmission is the best linear code for any SNR. But for a colored source, whitening transmit filter is sub-optimal. In high SNR regime, the magnitude response of the optimal transmission filter is inversely proportional to fourth-root of the power spectrum of the process (while that for the whitening filter is inversely proportional to the square-root of the spectrum). In the special case of a single sensor with Gaussian source, we also quantify the performance loss of linear source-channel codes with respect to the Shannon limit.

关键词： colored source linear codes joint source-channel coding multiaccess communications sensor networks

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On the suitability of ML decoding in Analog Multiple Description Schemes 16

On the suitability of ML decoding in Analog Multiple Descrip...

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16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Saez, Aitziber Alustiza, Iker Crespo, Pedro M. Insausti, Xabier Univ Navarra CEIT Donostia San Sebastian 20018 Spain Univ Navarra TECNUN Donostia San Sebastian 20018 Spain

ISBN: (纸本)9781479919314

We consider analog multiple description joint source-channel schemes for the transmission of a Gaussian source over two independent AWGN parallel channels under a quadratic error distortion criteria. For such systems, Lines mapping was proved to be a simple and efficient mapping when MMSE decoding is used. However, MMSE decoding presents a high computational load. In order to reduce complexity of such schemes, this paper studies the suitability of replacing the MMSE decoders by the much simpler ML decoders. The scenario where the ML decoders have some additional side information (Wyner-Ziv scenario) is also analyzed. Their performances are compared with the corresponding theoretical bound and with the obtained simulation results of their MMSE counterparts.

关键词： Analog mappings ML decoding multiple description coding joint source-channel coding

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TAGIC: Task-Guided Image Communication Framework for Seamless Teleoperation

TAGIC: Task-Guided Image Communication Framework for Seamles...

引用

IEEE Conference on Computer Communications (IEEE INFOCOM)

作者： Diao, Yufeng Zhang, Yichi Zhao, Philip G. De Martini, Daniele Univ Glasgow Sch Engn Glasgow Lanark Scotland Univ Manchester Dept Comp Sci Manchester Lancs England Univ Oxford Oxford Robot Inst ORI Oxford England

ISBN: (纸本)9798350384482;9798350384475

Image-based teleoperation offers significant flexibility and efficiency in several applications, such as teleoperated driving;still, it highly depends on reliable communication bandwidth and high Signal-to-Noise Ratio (SNR), which is hard to guarantee in uncontrolled environments. This poster tackles the challenge of reliable communication under limited bandwidth. We propose to leverage the context and task knowledge to guide the compression to favor task performance rather than image fidelity. In particular, we jointly designed source-channel coding with a task performer to present an end-to-end TAsk-Guided Image Communication (TAGIC) framework, which uses Soft Introspective Variational Autoencoder (S-IntroVAE) and prioritizes the task-critical image information with limited communication bandwidth in the low SNR region. We demonstrate the effectiveness of TAGIC in a teleoperated driving scenario through the CARLA simulation platform - a widely used simulator in the autonomous driving community. Given the equivalent value of bandwidth compression ratio, TAGIC achieves a 202.6% improvement in the driving score over existing methods at low SNR.

关键词： joint source-channel coding teleoperated driving

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PREcoding AND POSTcoding SCHEMES FOR WIRELESS VIDEO TRANSMISSION IN OVERLOADED MIMO SYSTEMS 24

PRECODING AND POSTCODING SCHEMES FOR WIRELESS VIDEO TRANSMIS...

引用

24th IEEE International Conference on Image Processing (ICIP)

作者： Tashiro, Koji Lanante, Leonardo Kurosaki, Masayuki Ochi, Hiroshi Kyushu Inst Technol Grad Sch Comp Sci & Syst Engn Kitakyushu Fukuoka Japan

ISBN: (纸本)9781509021758

Image and video transmission is highly expected to proliferate with the wide spread of Wi-Fi devices and the introduction of multiple-input multiple-output (MIMO) systems. This paper proposes a novel precoder for video transmission in overloaded MIMO systems, which is based on an eigen-beam space division multiplexing (E-SDM) technique. This paper also proposes a low complexity postcoder, which detects some of data symbols by a linear approach and the others by a prevoting vector cancellation (PVC) approach. It is shown from simulation results that the proposed precoder and postcoder achieve 40 dB in peak signal-to-noise ratio while reducing the computational complexity by over 61% compared to the conventional PVC-based detection when received signal-to-noise ratio is higher than 10 dB.

关键词： Overloaded MIMO Video Transmission E-SDM joint source-channel coding

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Lossy source-channel Communication over a Phase-Incoherent Interference Relay channel 2012

Lossy Source-Channel Communication over a Phase-Incoherent I...

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IEEE International Symposium on Information Theory

作者： Saffar, H. Ebrahimzadeh Khuzani, M. Badiei Mitran, P. Univ Waterloo Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9781467325790

We study the lossy communication of a bivariate Gaussian source over an interference channel with the presence of a helping relay. We assume that the wireless links introduce random phase shifts which are unknown to the transmitters (including the relay) and call the channel a phase incoherent interference relay channel (PI-IRC). We derive inner and outer bounds for the achievable distortion region, where the inner bound is derived under specific strong interference conditions as well as strong gain conditions between transmitters and the relay. When the sources are correlated, we find an approximate achievable distortion region in the high SNR regime. In case of independent sources, the bounds are tight and by explicitly providing the achievable distortion region, we show that a separation theorem results for the PI-IRC under strong interference conditions. By removing the relay, the result also specializes to an interference channel.

关键词： joint source-channel coding distortion region interference channel interference relay channel phase uncertainty correlated sources

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The Evaluation of Gain Of Statistical Modulation Method on the Example of QAM16 for Input Data with Exponential Distribution

The Evaluation of Gain Of Statistical Modulation Method on t...

引用

Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)

作者： Sergeev, A. V. Shanyazov, R. R. Ilina, D. V. Bashun, V. V. St Petersburg State Univ Aerosp Instrumentat St Petersburg Russia

This paper concerns new effective method of joint data coding/ modulation which may improve energy-efficiency and energy savings of modern wireless transmission systems. The method require a priori knowledge of input ... 详细信息

ISBN: (纸本)9781538676325

关键词： Quadrature amplitude modulation joint source-channel coding QAM. SQAM modulation IoT

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channel-CONFIGURABLE DEEP WIRELESS SPEECH TRANSMISSION 25

CHANNEL-CONFIGURABLE DEEP WIRELESS SPEECH TRANSMISSION

引用

IEEE Wireless Communications and Networking Conference (IEEE WCNC)

作者： Bokaei, Mohammad Jensen, Jesper Doclo, Simon Ostergaard, Jan Aalborg Univ Aalborg Denmark Oticon AS Copenhagen Denmark Carl von Ossietzky Univ Oldenburg Oldenburg Germany

ISBN: (纸本)9798350303582;9798350303599

The proliferation of edge-based wireless speech applications necessitates the development of resource-efficient, low-latency speech communication systems capable of functioning across diverse communication channel conditions. Ensuring intelligible speech communication under conditions of constrained resources and low-latency presents a challenging problem within the domain of speech transmission. In this paper, we introduce a very low-latency configurable speech transmission system leveraging joint source-channel coding and deep neural networks (DNNs). Our proposed system is a unified deep neural network system engineered to operate effectively across a wide range of wireless communication channel scenarios. The system encompasses both a joint source-channel encoder and a joint source-channel decoder, each with access to channel state information (CSI). In this context, CSI signifies the type of fading in the wireless channel. Notably, our system has a total latency of 2 ms. Through extensive simulations, we empirically demonstrate that the proposed configurable system closely approximates the performance of ideal systems specifically tailored to individual wireless channel scenarios. Our evaluation is rooted in the assessment of instrumental measures of speech quality and intelligibility, affirming the efficacy of our system in diverse and resource-constrained communication contexts.

关键词： low-latency joint source-channel coding speech transmission edge communication

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MULTIRESOLUTION MODULATION FOR EFFICIENT BROADCAST OF INFORMATION

MULTIRESOLUTION MODULATION FOR EFFICIENT BROADCAST OF INFORM...

引用

Conference on Visual Communications and Image Processing 94

作者： GRUNDSTROM, M RENFORS, M TAMPERE UNIV TECHNOL DEPT INFORMAT TECHNOLSF-33101 TAMPEREFINLAND

ISBN: (纸本)081941638X

Methods for reliable transmission of information, especially digital television, are considered. In the broadcast channel, several different receiver configurations and channel conditions make an optimization of the channel coding practically impossible. To efficiently utilize available spectrum and to allow robust reception in adverse channel conditions, joint source- channel coding is applied. This is achieved utilizing multiresolution modulation combined with unequal error protection in the channel coding part and data prioritization in source coder. These design parameters for the joint system are considered. The emphasis of this paper is on the modulation part. Multiresolution 32 QAM is presented. Simulations show good performance in the additive white gaussian noise channel and, moreover, results in multipath fading channel are encouraging as far as high priority level of the data is considered.

关键词： joint source-channel coding MULTIRESOLUTION MODULATION UNEQUAL ERROR PROTECTION DIGITAL TELEVISION

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ANALOG MULTIPLE DESCRIPTIONS: A ZERO-DELAY source-channel coding APPROACH

ANALOG MULTIPLE DESCRIPTIONS: A ZERO-DELAY SOURCE-CHANNEL CO...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Mustafa Said Mehmetoglu Emrah Akyol Kenneth Rose Electrical and Computer Engineering University of California Santa Barbara CA 93106 USA Coordinated Science Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA

ISBN: (纸本)9781479999897

This paper extends the well-known source coding problem of multiple descriptions, in its general and basic setting, to analog source-channel coding scenarios. Encoding-decoding functions that optimally map between the (possibly continuous valued) source and the channel spaces are numerically derived. The main technical tool is a non-convex optimization method, namely, deterministic annealing, which has recently been successfully used in other mapping optimization problems. The obtained functions exhibit several interesting structural properties, map multiple source intervals to the same interval in the channel space, and consistently outperform the known competing mapping techniques.

关键词： joint source-channel coding multiple descriptions analog mappings zero-delay communications Combined source-channel coding channel spacing MAPPING(MATHEMATICAL) Analog optimization method Structural properties code and decode

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A NOVEL ERROR RESILIENT joint sourcechannel coding SCHEME FOR IMAGE TRANSMISSION OVER ERROR PRONE channelS

A NOVEL ERROR RESILIENT JOINT SOURCECHANNEL CODING SCHEME FO...

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2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology（IC-BNMT2009）

作者： Xue Guodong 1,Hao Chenxi 2,Zhang Wenbo 1,Zou Jun 3 1.School of information and communication engineering 2.School of computer science and technology Beijing University of Posts and Telecommunications,Beijing,China 3.IBM China Software Development Laboratory (CDL),Beijing,China

In this paper,we proposed a double-level error resilient joint source-channel coding scheme for image ***,we inserted one coordinative component named error resilient entropy coding (EREC) between source coding and channel coding to achieve additional error resilient *** on the novel architecture,we proved that,in the aspects of computational complexity,coding redundancy and furthermore the decoding performance of image transmission,our scheme outperformed either separate source and channel coding scheme or joint source-channel coding scheme with synchronization words.

关键词： double-level error resilient capability joint source-channel coding image transmission error prone channels

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