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检索条件"主题词=Joint Source-channel coding"

共 624 条记录，以下是511-520 订阅

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SOFTCAST WITH PER-CARRIER POWER-CONSTRAINED channelS 23

SOFTCAST WITH PER-CARRIER POWER-CONSTRAINED CHANNELS

引用

23rd IEEE International Conference on Image Processing (ICIP)

作者： Zheng, S. Antonini, M. Cagnazzo, M. Guerrieri, L. Kieffer, M. Nemoianu, I. Samy, R. Zhang, B. Univ Paris Sud CentraleSupelec CNRS L2S 3 Rue Joliot Curie F-91192 Gif Sur Yvette France Univ Nice Sophia Antipolis CNRS I3S 2000 Route Lucioles F-06903 Sophia Antipolis France Univ ParisSaclay Telecom ParisTech CNRS LTCI F-75013 Paris France STMicroelectron Sr1 Via Lavoratori Vittime Col Du Mont 28 I-11100 Aosta Italy SAGEMCOM R&T Direct 250 Route LEmpereur F-92838 Rueil Malmaison France STMicroelectron Srl Geneva Switzerland

ISBN: (纸本)9781467399616

This paper considers the Softcast joint source-channel video coding scheme for data transmission over parallel channels with different power constraints and noise characteristics, typical in DSL or PLT channels. To minimize the mean square error at receiver, an optimal precoding matrix design problem has to be solved, which requires the solution of an inverse eigenvalue problem. Such solution is taken from the MIMO channel precoder design literature. Alternative suboptimal precoding matrices are also proposed and analyzed, showing the efficiency of the optimal precoding matrix within Softcast, which provides gains increasing with the encoded video quality.

关键词： joint source-channel coding Softcast Precoding matrices PLT channels

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Optimal HDA Codes for Sending a Gaussian source over a Gaussian channel with Bandwidth Compression in the presence of an Interference

Optimal HDA Codes for Sending a Gaussian Source over a Gauss...

引用

IEEE Information Theory Workshop (ITW)

作者： Varasteh, Morteza Behroozi, Hamid Sharif Univ Technol Dept Elect Engn Tehran Iran

ISBN: (纸本)9781457704376

In this paper, we consider transmission of a Gaussian source over a Gaussian channel under bandwidth compression in the presence of interference known only to the transmitter. We study hybrid digital-analog (HDA) joint source-channel coding schemes and propose two novel coding schemes that achieve the optimal mean-squared error (MSE) distortion. This can be viewed as the extension of results by Wilson et al. [1], originally proposed for sending a Gaussian source over a Gaussian channel in two cases: 1) Matched bandwidth with known interference only at the transmitter, 2) bandwidth compression where there is no interference in the channel. The proposed HDA codes can cancel the interference of the channel and obtain the "optimum performance theoretically attainable" (OPTA) of the AWGN channel with no interference in the case of bandwidth compression. We also provide performance analysis in the presence of signal-to-noise ratio (SNR) mismatch where we expect that HDA schemes perform better than strictly digital schemes.

关键词： AWGN channel hybrid digital-analog coding joint source-channel coding writing on dirty paper coding

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Mismatched source Transition Probability Matrix for Adaptive MAP Decoding in MPEG-4 Imagery Wireless Transmission Systems

Mismatched Source Transition Probability Matrix for Adaptive...

引用

20th IEEE Symposium on Personal, Indoor and Mobile Radio Communications

作者： Mahapakulchai, Srijidtra Charoenlarpnopparut, Chalie Hasajitto, Siriwat Kasetsart Univ Dept Elect Engn Bangkok Thailand Thammasat Univ Sch Informat Sirindhom Int Inst Tech Comp & Commun Tech Bangkok Thailand

ISBN: (纸本)9781424451234

Here, we design the efficient technique of transmitting the source transition probability matrix (STPM) by accompanied with the lowest frequency subband (LFS). The entries of this stochastic matrix are adaptively computed by applying the first order Markov model with MPEG-4 zerotree sequences. Because of channel disturbances, we obtain the mismatched STPM at the ML-Viterbi receiver and then employ it for newly computed branch metrics at the MAP source-controlled channel decoder. For analysis, we also evaluate the residual redundancies for both the "Lena" and the "Barbara" images. The system performance is summarized in term of both PSNR (dB) and WER for three types of slow flat Rician fading channels. In the mismatched STPM simulation results, we still obtain the most PSNR improvement of about 0.14 dB.

关键词： joint source-channel coding MAP decoder Markov model Residual redundancy Ring convolutional codes Rician fading channels

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On Bi-directional Lossy Communication of Correlated Gaussian sources

On Bi-directional Lossy Communication of Correlated Gaussian...

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IEEE International Conference on Communications (ICC)

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

ISBN: (纸本)9781467331227

We investigate fundamental limits of lossy communication in a bi-directional (two-way), half-duplex relay channel, where users wish to exchange correlated Gaussian sources and do so by sending their data according to a two-phase transmission protocol. We first establish a general distortion inner bound using the data processing inequality. Based on uncoded transmission schemes, separate source and channel coding schemes, and a lattice coding scheme, we then develop several cooperative joint source-channel coding (JSCC) approaches. Furthermore, we compare the corresponding achievable distortion performances in terms of the correlation coefficient between Gaussian sources. This comparison particularly shows that separate source and channel coding in combination with decode-and-forward relaying achieves the best distortion values of any joint source-channel coding scheme in this paper.

关键词： joint source-channel coding Rate-distortion Two-way communication

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End-to-End Learning-Based Wireless Image Recognition Using the PyramidNet in Edge Intelligence 34

End-to-End Learning-Based Wireless Image Recognition Using t...

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IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Lee, Kyubihn Yu, Nam Yul Gwangju Inst Sci & Technol GIST Sch Elect Engn & Comp Sci Gwangju South Korea

ISBN: (纸本)9781665464833

In edge intelligence, deep learning (DL) models are deployed at an edge device and an edge server for data processing with low latency in the Internet of Things (IoT). In this paper, we propose a new end-to-end learning-based wireless image recognition scheme using the PyramidNet in edge intelligence. We split the PyramidNet carefully into two parts for an IoT device and the edge server, which is to pursue low on-device computation. Also, we apply a squeeze-and-excitation block to the PyramidNet for the improvement of image recognition. In addition, we embed compression encoder and decoder at the splitting point, which reduces communication overhead by compressing the intermediate feature map. Simulation results demonstrate that the proposed scheme is superior to other DL-based schemes in image recognition, while presenting less on-device computation and fewer parameters with low communication overhead.

关键词： Edge intelligence end-to-end learning image recognition Internet of Things (IoT) joint source-channel coding

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ENERGY EFFICIENT LOSSY TRANSMISSION OVER SENSOR NETWORKS WITH FEEDBACK

ENERGY EFFICIENT LOSSY TRANSMISSION OVER SENSOR NETWORKS WIT...

引用

2010 IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Jain, Aman Guenduez, Deniz Kulkarni, Sanjeev R. Poor, H. Vincent Verdu, Sergio Princeton Univ Dept Elect Engn Princeton NJ 08544 USA

ISBN: (纸本)9781424442966

The energy-distortion function (E(D)) for a network is defined as the minimum total energy required to achieve a target distortion D at the receiver without putting any restrictions on the number of channel uses per source sample. E(D) is studied for a sensor network in which multiple sensors transmit their noisy observations of a Gaussian source to the destination over a Gaussian multiple access channel with perfect channel output feedback. While the optimality of separate source and channel coding is proved for the case of a single sensor, this optimality is shown to fail when there are multiple sensors in the network. A network with two sensors is studied in detail. First a lower bound on E(D) is given. Then, two achievability schemes are proposed: a separation based digital scheme and a Schalkwijk-Kailath (SK) type uncoded scheme. The gap between the lower bound and the upper bound based on separation is shown to be a constant even as the total energy requirement goes to infinity in the low distortion regime. On the other hand, as the distortion requirement is relaxed, the SK based scheme is shown to outperform separation in certain cases, proving that the optimality of source-channel separation does not hold in the multi-sensor setting.

关键词： Sensor networks energy efficiency feedback joint source-channel coding information theory

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ADAPTIVE STATE ESTIMATION OVER LOSSY SENSOR NETWORKS FULLY ACCOUNTING FOR END-TO-END DISTORTION 20

ADAPTIVE STATE ESTIMATION OVER LOSSY SENSOR NETWORKS FULLY A...

引用

IEEE Statistical Signal Processing Workshop (SSP)

作者： Li, Bohan Nanjundaswamy, Tejaswi Rose, Kenneth Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA

ISBN: (纸本)9781538615713

This paper investigates state estimation with wireless sensors communicating over unreliable bandwidth-limited networks. Specifically, we consider so-called smart sensors equipped with simple processing units, which enable predictive coding at the sensor side, to meet the bandwidth constraint. While predictive coding significantly reduces the bit-rate by removing temporal redundancies, it exacerbates the impact of packet loss, due to error propagation through the prediction loop, potentially causing significant degradation of the reconstructed signal. To fully account for and control the conflict between coding efficiency and robustness to packet loss, we propose a coding approach that explicitly optimizes the tradeoff between rate and end-to-end distortion (EED). The proposed method determines optimal switching decisions between available coding modes, offering different compression-robustness operating points, based on EED that is optimally estimated at the encoder (sensor), in order to realize the best rate-distortion tradeoff. Simulation results demonstrate that the proposed approach achieves considerable gains in signal-to-noise ratio for state estimation over lossy sensor networks.

关键词： Kalman filter wireless sensors lossy networks end-to-end distortion joint source-channel coding

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Robust and extreme unequal error protection scheme for the transmission of scalable data over OFDM systems

Robust and extreme unequal error protection scheme for the t...

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33rd IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Houas, Heykel Fijalkow, Inbar Baras, Cleo Univ Cergy Pontoise ENSEA CNRS ETIS UMR 8051 6 Ave Ponceau F-95014 Cergy Pontoise France Domaine Univ CNRS UMR 5216 GIPSA Lab F-38042 Grenoble France

ISBN: (纸本)9781424414833

Wireless applications are subject to the end-to-end Quality of Service (QoS) requirements. This paper presents a new resources allocation algorithm that allows to transmit scalable multimedia data over a frequency selective channel with partial channel knowledge. The available resources are subject to payload and QoS constraints and the algorithm aims at maximizing the transmission robustness to channel estimation errors. The impact of this technique is evaluated for a MPEG-4 audio application.

关键词： unequal error protection resources allocation OFDM scalable data joint source-channel coding

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joint REsourceS ALLOCATION FOR COOPERATIVE VIDEO TRANSMISSION

JOINT RESOURCES ALLOCATION FOR COOPERATIVE VIDEO TRANSMISSIO...

引用

16th IEEE International Conference on Image Processing

作者： Xiao, Hongjiang Dai, Qionghai Ji, Xiangyang Tsinghua Univ Dept Automat Beijing 100084 Peoples R China

ISBN: (纸本)9781424456536

This paper proposes a cooperative multiple-input multiple-output (MIMO) architecture to transmit the video reliably. By exploring the configurable resources of the scalable video and the coded MIMO system, we further propose a novel joint source-channel coding (JSCC) framework with optimal tradeoff among diversity, multiplexing and coding gains. In this framework, the concatenated low-density parity-check codes (LDPC) and diversity-embedded space-time block codes (DE-STBC) provide double unequal error protection for the video layers, and the STBCs switching enables the adaptability to the varying channel. Experiments demonstrate the superiority of cooperative architecture and the effectiveness of our JSCC algorithm.

关键词： Cooperative transmission joint source-channel coding diversity-multiplexing-coding gain tradeoff scalable video coding

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channel-Optimized Strategic Quantizer Design via Dynamic Programming 22

Channel-Optimized Strategic Quantizer Design via Dynamic Pro...

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22nd IEEE Statistical Signal Processing Workshop (SSP)

作者： Anand, Anju Akyol, Emrah SUNY Binghamton Elect & Comp Engn Binghamton NY 13902 USA

ISBN: (纸本)9781665452458

We consider the design problem of a strategic quantizer over a noisy channel, extending the classical work on channel-optimized quantization to strategic settings where the encoder and the decoder have misaligned objectives. Building on our recent work on strategic quantization over noiseless channels, we employ a random channel index assignment mapping, as done in prior work on classical channel-optimized quantizer design literature, combined with a dynamic programming approach to optimize quantization boundaries. Our analysis and numerical results demonstrate several interesting aspects of channel-optimized strategic quantization which do not appear in its classical (nonstrategic) counterpart. The codes are available at: https://***/ssp2023dpnoise.

关键词： Quantization joint source-channel coding game theory dynamic programming

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