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检索条件"主题词=Joint source-channel coding"

共 619 条记录，以下是521-530 订阅

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Unequally protected multistage vector quantization for time-varying CDMA channels

Unequally protected multistage vector quantization for time-...

引用

IEEE International Conference on Communications

作者： Gadkari, S Rose, K Conexant Syst Inc Newport Beach CA 92658 USA Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA

ISBN: (纸本)0780347889

We present a source-channel coding system for operation over code-division multiple-access channels with time-varying conditions. The proposed system consists of a multistage vector quantizer (MSVQ) in conjunction with unequal protection against channel errors. The receiver estimates the channel conditions and decodes as many stages of the quantizer as can be reliably decoded, The approach to system design and optimization is first derived and evaluated for a system that employs hard decoding of stage indices. The approach is then extended to the more general case of weighted decoding. Simulation results are given for transmission of Gauss-Markov sources over broadcast and slow fading channels. Consistent and substantial improvement is achieved over the standard MSVQ with equal error protection, and the gains, in terms of source signal-to-noise ratio, are in the range of 3-5 dB.

关键词： code-division multiple access joint source-channel coding time-varying channels unequal error protection vector quantization

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Optimal quantization for finite-state channels

Optimal quantization for finite-state channels

引用

1995 IEEE International Symposium on Information Theory

作者： Duman, TM Salehi, M Northeastern Univ Boston United States

ISBN: (纸本)0780324536

Optimal scalar quantizer design for transmission over a finite-state channel is considered. The objective is to minimize the mean-squared error when the channel is in the normal mode of operation, while guaranteeing a minimum fidelity when the channel is in the ''bad'' state. An optimal quantizer design algorithm for the general case where noisy state information is available both at the receiver and at the transmitter is derived. It is shown that using mixed strategies is necessary in order to achieve the optimal performance. Finally, the case where the observation is noisy is considered and it is shown that the optimal scheme in this case is to apply the algorithm for the ''no observation noise'' to the mean-squared estimate of the desired random variable from the noisy data.

关键词： finite-state channels quantization joint source-channel coding data compression

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A Variational Auto-Encoder Approach for Image Transmission in Noisy channel 10

A Variational Auto-Encoder Approach for Image Transmission i...

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10th International Symposium onTelecommunications (IST)

作者： Estiri, Amir Hossein Sabramooz, Mohammad Reza Banaei, Ali Dehghan, Amir Hossein Jamialahmadi, Benyamin Siavoshani, Mahdi Jafari Sharif Univ Technol Informat Network & Learning Lab Tehran Iran

ISBN: (纸本)9781728180120

Recent advancements in information technology and the widespread use of the Internet have led to easier access to data worldwide. As a result, transmitting data through noisy channels is inevitable. Reducing the size of data and protecting it during transmission from corruption due to channel noises are two classical problems in communication and information theory. Recently, inspired by deep neural networks' success in different tasks, many works have been done to address these two problems using deep learning techniques. In this paper, we investigate the performance of variational auto-encoders and compare the results with standard autoencoders. Our findings suggest that variational auto-encoders are more robust to channel degradation than auto-encoders. Furthermore, we have tried to excel in the human perceptual quality of reconstructed images by using perception-based error metrics as our network's loss function. To this end, we use the structural similarity index (SSIM) as a perception-based metric to optimize the proposed neural network. Our experiments demonstrate that the SSIM metric visually improves the quality of the reconstructed images at the receiver.

关键词： joint source-channel coding deep neural network variational auto-encoder (VAE) structural similarity index (SSIM)

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A Progressive Transmission Scheme for 3D Models in VR/AR Based on UEP-LT Code 28

A Progressive Transmission Scheme for 3D Models in VR/AR Bas...

引用

28th Annual IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

作者： Liu, Yishi Liu, Yitong Yang, Hongwen Beijing Univ Posts & Telecommun Wireless Theories & Technol Lab Beijing 100876 Peoples R China

ISBN: (纸本)9781538635315

Virtual reality (VR) and augmented reality (AR) applications with interactions are usually delay-sensitive. Fast delivery of three-dimensional (3-D) models in VR/AR over wireless networks has been a crucial task due to limited bandwidth and packet error. In this paper we propose an application layer content-aware joint source-channel coding scheme based on forward error correction (FEC). A 3D model is progressively encoded to a base mesh and several refinement layers consisting of connectivity and geometric data. A new design of LT code with a special coding graph has been proposed to provide unequal error protection (UEP) to these two kinds of data. Then a statistical measure is used to optimize the rate allocation for each refinement layer, which is scalable to both network bandwidth and packet loss rate (PLR). Experimental results show that the proposed streaming scheme can achieve the objectives of low transmission delay and small distortion under serious loss.

关键词： 3-D graphics virtual reality progressive transmission joint source-channel coding unequal error protection

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joint source-channel Rate-Distortion Optimization for Wireless Video Transmission 54

Joint Source-Channel Rate-Distortion Optimization for Wirele...

引用

54th Asilomar Conference on Signals, Systems, and Computers

作者： Hegazy, Rana D. Song, Qing Vosoughi, Arash Milstein, Laurence B. Cosman, Pamela C. Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA Dolby Labs San Francisco CA USA LG Elect Mobile Res Lab San Jose CA USA

ISBN: (纸本)9780738131269

This paper proposes a joint source-channel rate-distortion (RD) optimization for real-time video transmission. The video compression and forward error correction (FEC) options are optimized by looking for the best trade-off between the estimated end-to-end distortion of a video packet and the sum of the number of source bits and FEC bits used to encode that packet. Video coding options include coding mode and quantization parameter, which are selected for each macroblock. channel coding options consist of different FEC code rates that provide different levels of protection against the lossy channel. The proposed RD technique adjusts the bit rate to meet a target using a Lagrange multiplier approach. The encoder also uses the instantaneous channel state information to improve performance for a varying channel. Conventional RD optimization approaches optimize over the video coding modes, and our approach which considers the channel and FEC bits as well has better performance over both AWGN and Rayleigh fading channels. We also consider an approach to reduce the computational complexity of the proposed RD scheme.

关键词： Error resilience rate-distortion optimization forward error correction joint source-channel coding

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PACKET LOSS PROTECTION FOR INTERACTIVE SPEECH OBJECT RENDERING: A MULTIPLE DESCRIPTION APPROACH 2

PACKET LOSS PROTECTION FOR INTERACTIVE SPEECH OBJECT RENDERI...

引用

2nd IEEE China Summit / International Conference on Signal and Information Processing (IEEE ChinaSIP)

作者： Zheng, Xiguang Ritz, Christian Univ Wollongong Sch Elect Comp & Telecommun Engn ICT Res Inst Wollongong NSW 2522 Australia Dolby Labs Beijing Beijing 100021 Peoples R China

ISBN: (纸本)9781479954032

This paper investigates the application of novel packet loss protection schemes to compress mixtures of speech sources for interactive real-time audio services such as spatial teleconferencing. Hybrid Forward Error Correction (FEC) and Multiple Description coding (MDC) packet loss protection techniques are applied to the outputs of a psychoacoustic-based Analysis-By-Synthesis (PABS) coder designed for such applications. The protection approaches split the coder outputs into two descriptions that are separately protected using the hybrid FEC-MDC techniques. Perceptual Evaluation of Speech Quality (PESQ) measurements compare the performance of different protection schemes for a range of typical packet loss conditions. Results indicate the proposed scheme maintains the perceptual quality of the speech sources across a wide variety of packet loss conditions.

关键词： Quality of Experience Speech Compression joint source-channel coding

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On the Impact of Lossy channels in Wireless Edge Caching

On the Impact of Lossy Channels in Wireless Edge Caching

引用

IEEE International Conference on Communications (ICC)

作者： Cacciapuoti, Angela Sara Caleffi, Marcello Ji, Mingyue Llorca, Jaime Tulino, Antonia Maria Univ Naples Federico II DIETI Dept Naples Italy Broadcom Ltd Sunnyvale CA USA Nokia Bell Labs New Providence NJ USA

ISBN: (纸本)9781479966646

One of the main challenges for continued wireless capacity growth is the difficulty in exploiting the multicast nature of the wireless medium: wireless end points rarely experience the same channel conditions or access the same content at the same time. In this paper, we present and analyze a novel wireless video delivery paradigm based on the combined use of channel-aware caching and coded multicasting that allows simultaneously serving multiple cache-enabled access points that may be requesting different content and experiencing different channel conditions. To this end, we reformulate the caching-aided coded multicast problem as a joint source-channel coding problem and design an achievable scheme that preserves the cache-enabled multiplicative throughput gains of the error-free scenario, by guaranteeing per-receiver (access point) rates unaffected by the presence of receivers with worse channel conditions.

关键词： Video delivery coded multicast caching wireless channel joint source-channel coding

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Second-Order Asymptotics of Universal JSCC for Arbitrary sources and Additive channels

Second-Order Asymptotics of Universal JSCC for Arbitrary Sou...

引用

IEEE International Symposium on Information Theory (ISIT)

作者： Zhou, Lin Tan, Vincent Y. F. Motani, Mehul Natl Univ Singapore Dept ECE Singapore Singapore Natl Univ Singapore Dept ECE Math Singapore Singapore

ISBN: (纸本)9781538647813

We consider a universal joint source channel coding (JSCC) scheme to transmit an arbitrary memoryless source over an arbitrary additive channel. We adopt an architecture that consists of Gaussian codebooks for both the source reproduction sequences and channel codewords. The natural minimum Euclidean distance encoder and decoder, however, need to be judiciously modified to ensure universality as well as to obtain the best (highest) possible communication rates. In particular, we consider the analogue of an unequal error (or message) protection scheme in which all sources are partitioned into disjoint power type classes. We also regularize the nearest neighbor decoder so an appropriate measure of the size of each power type class is taken into account in the decoding strategy. For such an architecture, we derive ensemble tight second-order asymptotics.

关键词： Gaussian codebooks joint source-channel coding Ensemble tightness Universal codes Mismatched decoding Second-order asymptotics Dispersion

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On Distributed Transmission of Remote Correlated Gaussian sources over an Orthogonal Gaussian Multiple-Access channel 8

On Distributed Transmission of Remote Correlated Gaussian So...

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8th International Symposium on Telecommunications (IST)

作者： Setayesh, Mehdi Behroozi, Hamid Khalaj, Babak H. Sharif Univ Technol Dept Elect Engn Tehran Iran

ISBN: (纸本)9781509034352

In this paper, we consider the problem of sending a bivariate correlated Gaussian source through a two-user Gaussian orthogonal multiple-access channel (MAC), where each encoder observes a noisy version of one of the source components, and the receiver aims at reconstructing each source component. The estimation quality is measured by mean-squared error (MSE) distortion criterion. Different components of the source have their own fidelity requirements instead of total or average distortion measure. It is easy to verify that for this problem, digital communication has an optimal performance. However, it is not explicit that when there is a constraint on the total power budget, what power allocation reaches the optimal power-distortion trade-off. This paper determines the power allocated to each encoder in the digital communication setting. Furthermore, we also analyze the performance of uncoded transmission scheme which has considerably lower complexity and delay than source-channel separation scheme.

关键词： joint source-channel coding correlated sources uncoded transmission power allocation

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On the Energy-Distortion Tradeoff for the Gaussian Broadcast Problem

On the Energy-Distortion Tradeoff for the Gaussian Broadcast...

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IEEE International Symposium on Information Theory (ISIT)

作者： Koken, Erman Tuncel, Ertem Univ Calif Riverside Riverside CA 92521 USA

ISBN: (纸本)9781509018062

The energy-distortion tradeoff for the transmission of a white Gaussian source over the additive white Gaussian broadcast channel is investigated by translating the known upper and lower bounds into the infinite bandwidth regime. While a gap continues to exist between the bounds in this regime, it is shown that in a certain region on the distortion plane, the energy difference between the best known upper and lower bounds is quantifiably small.

关键词： Broadcast channels energy-distortion tradeoff energy-limited transmission joint source-channel coding

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