检索结果-内蒙古大学图书馆

Scalable joint source-channel coding for the Scalable Extension of H.264/AVC

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2008年第12期18卷 1657-1670页

作者： Stoufs, Maryse Munteanu, Adrian Cornelis, Jan Schelkens, Peter Vrije Univ Brussel Dept Elect & Informat ETRO B-1050 Brussels Belgium

This paper proposes a novel joint source-channel coding (JSCC) methodology which minimizes the end-to-end distortion for the transmission over packet loss channels of scalable video encoded using SVC, the scalable extension of H.264/AVC. The proposed JSCC approach performs channel protection using low-density parity-check codes and relies on Lagrangian-based optimization techniques to derive the appropriate protection levels for each layer produced by the scalable source codec. Our JSCC approach for SVC can support spatial, temporal and quality scalability and can provide an optimized channel protection in any scalable setting. Experiments show that our JSCC methodology yields competitive results against state-of-the-art Lagrangian-based JSCC algorithms. Compared to the state-of-the-art, our approach significantly reduces the number of computations needed to derive the rate-distortion hulls. Moreover, the proposed approach constructs convex rate-distortion hulls for each frame, irrespective of the target rate. This allows the pre-computation of the convex rate-distortion hulls for typical packet loss channels, such that the extraction of a near-optimal JSCC allocation can be achieved on-the-fly for any target rate or packet-loss rate. We conclude that the proposed JSCC methodology provides optimized resilience against transmission errors in scalable video streaming over variable-bandwidth error-prone channels.

关键词： Error resilience H.264/AVC joint source-channel coding scalable video coding unequal error protection

来源：评论

学校读者我要写书评

暂无评论

Zero-Delay joint source-channel coding for a Bivariate Gaussian on a Gaussian MAC

引用

IEEE TRANSACTIONS ON COMMUNICATIONS 2012年第10期60卷 3091-3102页

作者： Floor, Pal Anders Kim, Anna N. Wernersson, Niklas Ramstad, Tor A. Skoglund, Mikael Balasingham, Ilangko Univ Oslo Oslo Univ Hosp Intervent Ctr Oslo Norway Univ Oslo Inst Clin Med Oslo Norway Norwegian Univ Sci & Technol NTNU Dept Elect & Telecommun Trondheim Norway Ericsson Res Stockholm Sweden Royal Inst Technol KTH Sch Elect Engn Stockholm Sweden Royal Inst Technol KTH ACCESS Linnaeus Ctr Stockholm Sweden

In this paper, delay-free, low complexity, joint source-channel coding (JSCC) for transmission of two correlated Gaussian memoryless sources over a Gaussian Multiple Access channel (GMAC) is considered. The main contributions of the paper are two distributed JSCC schemes: one discrete scheme based on nested scalar quantization, and one hybrid discrete-analog scheme based on a scalar quantizer and a linear continuous mapping. The proposed schemes show promising performance which improves with increasing correlation and are robust against variations in noise level. Both schemes also exhibit a constant gap to the performance upper bound when the channel signal-to-noise ratio gets large.

关键词： joint source-channel coding memoryless source-channel mappings bivariate Gaussian Gaussian multiple access channel

来源：评论

学校读者我要写书评

暂无评论

Performance of multilayered video encoding and delivery over lossy channels using a joint source-channel coding approach

引用

WIRELESS PERSONAL COMMUNICATIONS 2006年第2期36卷 113-128页

作者： Pei, Y Modestino, JW Wright State Univ Dept Comp Sci & Engn Dayton OH 45435 USA Univ Miami Dept Elect & Comp Engn Coral Gables FL 33124 USA

In this paper, the performance of selected error-control schemes based on forward error-control (FEC) coding for H.263+ video transmission over an additive white Gaussian noise (AWGN) channel is studied. joint source and channel coding (JSCC) techniques that employ single-layer and 2-layer H.263+ coding in conjunction with unequal error protection (UEP) to combat channel errors are quantitatively compared. Results indicate that with appropriate joint source and channel coding, tailored to the respective layers, FEC-based error control in combination with 2-layer video coding techniques can lead to more acceptable quality for wireless video delivery in the presence of channel impairments.

关键词： video transport video over wireless channels error-control coding unequal error protection scalable video coding joint source-channel coding

来源：评论

学校读者我要写书评

暂无评论

A Practical Code Rate Decision Scheme Based on Playable Bitrate Model for Error-Resilient joint source-channel coding

引用

IEICE TRANSACTIONS ON COMMUNICATIONS 2011年第3期E94B卷 676-685页

作者： Jeong, Yo-Won Seo, Kwang-Deok Park, Kyu Ho Korea Adv Inst Sci & Technol Dept Elect Engn Taejon 305701 South Korea Yonsei Univ Comp & Telecommun Engn Div Wonju 220710 Gangwon South Korea

joint source-channel coding (JSCC) is a method to jointly allocate the given total transmission bitrate to the source coding and channel coding to maximize the video quality at the receiving end. In this paper, we propose a practical model for efficiently determining a near-optimal code rate for JSCC in real-time video communications. The conventional code rate decision schemes using analytical source coding distortion model and channel-induced distortion model are usually complex, and typically employ the process of model parameter training which involves potentially high computational complexity and implementation cost. To avoid the complex modeling procedure, we introduce a very simple video quality model based on the playable bitrate which is defined as the total bit amount per unit time that is not affected by the channel loss during transmission including correctly recovered bits by the channel decoder. Because the video quality at the receiving end is clearly commensurate with the playable bitrate, we can easily determine the quality-oriented near-optimal code rate by finding the code rate that maximizes the playable bitrate at the sender side. The proposed playable bitrate model is very simple because it does not require the complex training procedure for obtaining model parameters, which is usually required in the conventional code rate decision method. It is shown by simulations that the proposed code rate decision scheme based on the playable bitrate model can efficiently determine the near-optimal code rate for JSCC in terms of high accuracy on the optimal code rate.

关键词： joint source-channel coding code rate decision error-resilient video coding forward error correction

来源：评论

学校读者我要写书评

暂无评论

Multiple Description Analog joint source-channel coding to Exploit the Diversity in Parallel channels

引用

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2012年第11期60卷 5880-5892页

作者： Erdozain, Aitor Crespo, Pedro M. Beferull-Lozano, Baltasar Univ Navarra CEIT San Sebastian 20018 Spain Univ Valencia Inst Robot Tecnol Informac & Comunicac Valencia 46980 Spain Univ Navarra Tecnun San Sebastian 20018 Spain

The complexity and delay introduced by efficient digital coding strategies may be a barrier in some real-time communications. In this sense, these last years, joint source-channel coding schemes based on analog mappings have gained prominence precisely for their simplicity and their implicit low delay. In this work, analog mappings originally designed for point-to-point communications are adapted to the case of parallel channels by following the multiple description strategy traditionally used in source coding. In principle, the coding scheme is designed to transmit over parallel AWGN on-off channels, which are characterized by the possibility of having failures. We also show that our scheme performs satisfactorily over slow Rayleigh fading parallel channels.

关键词： Analog mappings joint source-channel coding parallel channels

来源：评论

学校读者我要写书评

暂无评论

Bandwidth-Agile Image Transmission With Deep joint source-channel coding

引用

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2021年第12期20卷 8081-8095页

作者： Kurka, David Burth Gunduz, Deniz Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England

We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels. We consider the scenario in which images are transmitted progressively in layers over time or frequency, and such layers can be aggregated by receivers in order to increase the quality of their reconstructions. We investigate two scenarios, one in which the layers are sent sequentially, and incrementally contribute to the refinement of a reconstruction, and another in which the layers are independent and can be retrieved in any order. Those scenarios correspond to the well known problems of successive refinement and multiple descriptions, respectively, in the context of joint source-channel coding (JSCC). We propose DeepJSCC-l, an innovative solution that uses convolutional autoencoders, and present three architectures with different complexity trade-offs. To the best of our knowledge, this is the first practical multiple-description JSCC scheme developed and tested for practical information sources and channels. Numerical results show that DeepJSCC-l can learn to transmit the source progressively with negligible losses in the end-to-end performance compared with a single transmission. Moreover, DeepJSCC-l has comparable performance with state of the art digital progressive transmission schemes in the challenging low signal-to-noise ratio (SNR) and small bandwidth regimes, with the additional advantage of graceful degradation with channel SNR.

关键词： Image transmission joint source-channel coding multiple description coding successive refinement wireless communication

来源：评论

学校读者我要写书评

暂无评论

Distributed joint source-channel coding Using Unequal Error Protection LDPC Codes

引用

IEEE TRANSACTIONS ON COMMUNICATIONS 2013年第8期61卷 3472-3482页

作者： Shahid, Iqbal Yahampath, Pradeepa Univ Manitoba Dept Elect & Comp Engn Winnipeg MB R3T 2N2 Canada

This paper presents a general approach to designing distributed joint source channel (DJSC) codes with arbitrary rates for communication of a pair of correlated binary sources over noisy channels. In this approach, both distributed compression and channel error correction are simultaneously achieved by transmitting, for each source, a fraction of the information bits together with the parity bits of a systematic channel code. This approach is shown to be asymptotically optimal, i.e., any rate-pair in the achievable rate-region can be approached as the codeword length is increased. The practical realization of such a code requi res the design of a pair of channel codes with unequal error protection (UEP) properties determined by the inter-source correlation and the channel capacity available to each source. Towards this end, a linear programming based procedure for jointly optimizing the degree profiles of a pair of irregular LDPC codes to achieve the required UEP properties is presented. Experimental results obtained with both binary symmetric channels and binary-input Gaussian channels are presented, which demonstrate that the proposed UEP-DJSC codes can significantly outperform separate source-channel codes, as well as previously reported joint source-channel coding schemes, particularly for short codeword lengths.

关键词： Distributed source coding joint source-channel coding LDPC codes unequal error protection belief-propagation EXIT-chart analysis

来源：评论

学校读者我要写书评

暂无评论

On Lossy joint source-channel coding in Energy Harvesting Communication Systems

引用

IEEE TRANSACTIONS ON COMMUNICATIONS 2015年第11期63卷 4433-4447页

作者： Motlagh, Meysam Shahrbaf Khuzani, Masoud Badiei Mitran, Patrick Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada Harvard Univ Sch Engn & Appl Sci Cambridge MA 02138 USA

We study the problem of lossy joint source-channel coding in a single-user energy harvesting communication system with causal energy arrivals and the energy storage unit may have leakage. In particular, we investigate the achievable distortion in the transmission of a single source via an energy harvesting transmitter over a point-to-point channel. We consider an adaptive joint source-channel coding system, where the length of channel codewords varies based on the available battery charge. We first establish a lower bound on the achievable distortion. Then, as necessary conditions for local optimality, we obtain two coupled equations that determine the mismatch ratio between channel symbols and source symbols as well as the transmission power, both as functions of the battery charge. As examples of continuous and discrete sources, we consider Gaussian and binary sources respectively. For the Gaussian case, we obtain a closed-form expression for the mismatch factor in terms of the LambertW function, and show that an increasing transmission power policy results in a decreasing mismatch factor policy and vice versa. Finally, we numerically compare the performance of the adaptive mismatch factor scheme to the case of a constant mismatch factor.

关键词： joint source-channel coding energy harvesting distortion resource allocation

来源：评论

学校读者我要写书评

暂无评论

A joint source-channel coding approach to digital image self-recovery

引用

SIGNAL IMAGE AND VIDEO PROCESSING 2017年第7期11卷 1371-1378页

作者： Sarreshtedari, Saeed Abbasfar, Aliazam Akhaee, Mohammad Ali Univ Tehran Dept Elect & Comp Engn Coll Engn Tehran *** Iran

The aim of the digital image self-embedding methods is to restore the content of a tampered image as much as possible. In this article, a joint source-channel coding solution is presented to solve this problem, in which an image compression algorithm is applied to generate a representation of the original image. The preserved information of the original image is used to produce hash bits that help the receiver to find the tampered area. Having the location of tampering known, it can be modeled as an erasure channel. Therefore, a channel coding phase is added to protect the image representation. The limited watermarking bit-budget will be optimally dedicated to the source and channel code bits based on the results derived by solving a dynamic programming optimization problem. It is shown in the experimental results that including this optimization stage results in the superiority of the proposed scheme to the similar state-of-the-art methods who lack such optimization.

关键词： Image tampering protection Self-recovery joint source-channel coding

来源：评论

学校读者我要写书评

暂无评论

Universal zero-delay joint source-channel coding

引用

IEEE TRANSACTIONS ON INFORMATION THEORY 2006年第12期52卷 5240-5250页

作者： Matloub, Shahriyar Weissman, Tsachy Stanford Univ Dept Elect Engn Stanford CA 94305 USA

We consider zero-delay joint source-channel coding of individual source sequences for a general known channel. Given an arbitrary finite set of schemes with finite-memory (not necessarily time-invariant) decoders, a scheme is devised that does essentially as well as the best in the set on all individual source sequences. Using this scheme, we construct a universal zero-delay joint source-channel coding scheme that is guaranteed to achieve, asymptotically, the performance of the best zero-delay encoding-decoding scheme with a finite-state encoder and a Markov decoder, on all individual sequences. For the case where the channel is a discrete memoryless channel (DMC), we construct an implementable zero-delay joint source-channel coding scheme that is based on the "follow the perturbed leader" scheme of Gyorgy et al. for lossy source coding of individual sequences. Our scheme is guaranteed to attain asymptotically the performance of the best in the set of all encoding-decoding schemes with a "symbol-by-symbol" decoder (and arbitrary encoder), on all individual sequences'.

关键词： discrete memoryless channel (DMC) finite-state encoder/decoder individual sequences joint source-channel coding Markov encoder/decoder zero-delay schemes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：