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检索条件"主题词=combined source-channel coding"

共 144 条记录，以下是71-80 订阅

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Iterative source-channel decoding for robust image transmission

Iterative source-channel decoding for robust image transmiss...

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Kliewer, J Görtz, N Univ Kiel Inst Circuits & Syst Theory D-24143 Kiel Germany

ISBN: (纸本)0780374029

In this paper we discuss the application of a joint source-channel decoding approach to image transmission over wireless channels. In addition to channel codes, also the implicit residual redundancy after source encoding in both horizontal and vertical direction is utilized for error protection. At the decoder we use an iterative ("turbo") source-channel decoder which can be obtained in the same manner as for serially concatenated channel codes. As a new result we show that this iterative decoding scheme in combination with a novel simplified joint source and channel coding rate allocation at the encoder can be successfully employed for protecting the image data, especially when the channel is highly corrupted. Furthermore, when the source correlations are approximated with a large training set at the decoder, only a small loss in performance is observed.

关键词： combined source-channel coding iterative decoding visual communication mobile radio correlation methods redundancy error correction codes turbo codes image coding robust image transmission channel coding rate allocation highly corrupted channel source correlation approximation large training set performance wireless channels implicit residual redundancy error protection horizontal direction vertical direction turbo source-channel decoder iterative decoding joint source-channel decoding

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Successive Refinement of Images with Deep Joint source-channel coding 20

Successive Refinement of Images with Deep Joint Source-Chann...

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20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Kurka, David Burth Gunduz, Deniz Imperial Coll London Informat Proc & Commun Lab Dept Elect & Elect Engn London England

ISBN: (纸本)9781538665282

We introduce deep learning based communication methods for successive refinement of images over wireless channels. We present three different strategies for progressive image transmission with deep JSCC, with different complexity-performance tradeoffs, all based on convolutional autoencoders. Numerical results show that deep JSCC not only provides graceful degradation with channel signal-to-noise ratio (SNR) and improved performance in low SNR and low bandwidth regimes compared to state-of-the-art digital communication techniques, but can also successfully learn a layered representation, achieving performance close to a single-layer scheme. These results suggest that natural images encoded with deep JSCC over Gaussian channels are almost successively refinable.

关键词： JSCC SNR art signal to noise ratios Supernova remnants Arts images Image communication systems combined source-channel coding Gaussian channels low SNR channel coding Refining

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The Two-Way Relay Network with Arbitrarily Correlated sources and an Orthogonal MAC

The Two-Way Relay Network with Arbitrarily Correlated Source...

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Data Compression Conference (DCC)

作者： Timo, Roy Ong, Lawrence Lechner, Gottfried Univ South Australia Inst Telecommun Res Adelaide SA 5001 Australia Univ Newcastle Callaghan NSW 2308 Australia

The problem of lossless joint source-channel coding for the two-way relay network with an orthogonal multiple access channel is studied. Necessary and sufficient conditions for reliable communication are given, and a ... 详细信息

ISBN: (纸本)9780769543529

关键词： Relay networks channel coding Bidirectional Orthogonal Sufficient conditions Media Access Protocol MAXIMUM ACCEPTABLE CONTAMINATION Necessary Bidirectional Network Multiple Access channel Access channels combined source-channel coding

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Uncoded Transmission of Correlated Gaussian sources Over Broadcast channels With Feedback

Uncoded Transmission of Correlated Gaussian Sources Over Bro...

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IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Murin, Yonathan Kaspi, Yonatan Dabora, Ron Guenduez, Deniz Ben Gur Univ Beer Sheva Israel Univ Calif San Diego San Diego CA USA Imperial Coll London London England

ISBN: (纸本)9781479970889

Motivated by the practical requirement for delay and complexity constrained broadcasting, we study uncoded transmission of a pair of correlated Gaussian sources over a two-user Gaussian broadcast channel with unit-delay noiseless feedback links (GBCF). Differently from previous works, in the present work we focus on the finite horizon regime. We present two joint source-channel coding schemes, one is based on the Ozarow-Leung (OL) coding scheme for the GBCF and the other is based on the linear quadratic Gaussian (LQG) code by Ardestanizadeh et al. Our LQG-oriented code uses an improved decoder which outperforms the original decoder of Ardestanizadeh et al. in the finite horizon regime. We further derive lower and upper bounds on the minimal number of channel uses needed to achieve a specified pair of distortion levels for each scheme, and using these bounds, we explicitly characterize a range of transmit powers in which the OL code outperforms the LOG-oriented code.

关键词： Gaussian channels broadcast channels combined source-channel coding feedback GBCF Gaussian broadcast channel with unit delay noiseless feedback LQG-oriented code OL coding scheme Ozarow-Leung coding scheme complexity constrained broadcasting correlated Gaussian sources delay constrained broadcasting distortion level finite horizon regime improved decoder joint source-channel coding scheme linear quadratic Gaussian lower bounds uncoded transmission upper bounds Decoding Encoding Estimation error Noise Receivers Silicon Upper bound

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Progressive coding and Iterative source-channel Decoding in Wireless Data Gathering Networks

Progressive Coding and Iterative Source-Channel Decoding in ...

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54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Li, Congduan Flikkema, Paul G. Howard, Sheryl L. No Arizona Univ Dept EECS Flagstaff AZ 86001 USA

ISBN: (纸本)9781424492688

Wireless data gathering networks are often tasked to gather correlated data under severe energy constraints. The use of simple channel codes with source-channel decoding can potentially provide good performance with low energy consumption. Here we consider progressive coding in multi-hop networks, where an intermediate node decodes its received noisy codewords. The estimated information is concatenated with the node's own information word and encoded;the resulting progressively-encoded codeword is then transmitted to the next node. In non-progressive coding, the node simply forwards the received noisy codewords along with its own encoded data. Here we compare the performance of two codes with low decoding complexity, Repeat-Accumulate (RA) and Low-Density Parity-Check (LDPC) codes, in combination with two progressive coding schemes. Progressive channel coding uses only channel decoding at the intermediate node, while progressive source-channel coding uses source-channel decoding, exploiting the probabilistic dependency of the information words (caused by the correlation structure of the data) jointly with the deterministic dependency induced by channel coding. Two decoding schemes are considered at the data center: channel decoding only and iterative source-channel decoding. In simulation experiments, we consider a line network topology with systematic RA and LDPC coding. Results show that progressive coding performs better than non-progressive coding, and RA codes perform better with lower computational complexity than LDPC codes, both for channel-decoding-only and iterative source-channel decoding.

关键词： Complexity theory Decoding Encoding Iterative decoding LDPC codes Peer to peer computing Wireless sensor networks combined source-channel coding computational complexity computational complexity deterministic dependency energy constraints intermediate node iterative decoding iterative source-channel decoding line network topology low energy consumption low-density parity-check codes multihop networks parity check codes progressive coding progressively-encoded codeword received noisy codewords repeat-accumulate codes simple channel codes telecommunication network topology wireless data gathering networks

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Joint source-channel decoding of correlated sources over noisy channels

Joint source-channel decoding of correlated sources over noi...

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Data Compression Conference (DCC 2001)

作者： Garcia-Frias, J Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA

ISBN: (纸本)0769510310

We consider the case of two correlated binary information sequences. Instead of compressing the information using source coding, both sequences are independently channel encoded, and transmitted over an AWGN channel. The correlation between both sequences is exploited at the receiver, allowing reliable communications at signal to noise ratios very close to the theoretical limits established by the combination of Shannon and Slepian-Wolf theorems.

关键词： binary information channel Decoder source coding DEcoding AWGN channels Receivers Sequences combined source-channel coding

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DISTRIBUTED JOINT source-channel ARITHMETIC coding

DISTRIBUTED JOINT SOURCE-CHANNEL ARITHMETIC CODING

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IEEE International Conference on Image Processing

作者： Grangetto, Marco Magli, Enrico Olmo, Gabriella Univ Turin Dipartimento Informat I-10124 Turin Italy Politecn Torino Dipartimento Elettron Turin Italy

ISBN: (纸本)9781424479948

We address distributed source coding with decoder side information, when the decoder observes the source through a noisy channel. Existing approaches employ syndrome- or parity-based channel codes. We propose a new approach based on distributed arithmetic coding (DAC). We introduce a DAC with forbidden symbol, which allows to tune the redundancy according to the amount of channel noise. We propose a novel sequential decoder that employs the known side information to decode the corrupted codeword. Experimental results show that the proposed scheme is better than parity-based turbo codes at relatively short block lengths.

关键词： DAC arithmetic codes channel coding channel noise combined source-channel coding distributed arithmetic coding joint source-channel coding parity check codes parity-based channel codes sequential decoder sequential decoding

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Optimal Multiresolution Quantization with Error Detecting Codes for Broadcast channels

Optimal Multiresolution Quantization with Error Detecting Co...

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IEEE International Symposium on Information Theory (ISIT)

作者： Ho, James Yang, En-hui Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9781479904464

This paper investigates the design of optimal vector quantization given channel and error statistics by inclusion of cyclic redundancy checks (CRC) into the consideration. Given a broadcast system with multiresolution vector quantization (MRVQ) and error detection availability for each resolution, a closed-form formula for the weighted end-to-end distortion (EED) is first derived under a random index assignment. Based on the closed-form formula, an iterative algorithm is then proposed for designing optimal MRVQ to minimize the EED with CRC. Experiments show that for a wide range of channel error probability, the inclusion of CRC indeed reduces the EED. Finally, the best tradeoff between the number of bits for quantization and those for CRC is also investigated by experiments.

关键词： broadcast channels combined source-channel coding cyclic redundancy check codes error detection codes error statistics iterative methods vector quantisation

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Bandwidth Efficient Compress-and-Forward Relaying Based on Joint source-channel coding

Bandwidth Efficient Compress-and-Forward Relaying Based on J...

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Blasco-Serrano, Ricardo Thobaben, Ragnar Skoglund, Mikael Royal Inst Technol KTH ACCESS Linnaeus Ctr Sch Elect Engn SE-10044 Stockholm Sweden

ISBN: (纸本)9781612842547

We propose a new code design for compress-and-forward relaying over bandlimited relay-to-destination channels. The main contribution of this paper is a code design based on joint (source-channel) coding and modulation that uses the correlation between the observations at the relay and the destination as protection against channel errors. This allows for relay nodes with reduced complexity, shifting most of the processing requirements to the destination node. Moreover, by using scalar quantizers with an entropy constraint our system provides remarkable performance in channel conditions where neither amplify-and-forward nor compress-and-forward efficiently exploit the presence of a relay node. Simulation results confirm the benefits of our proposed system.

关键词： Decoding Encoding Iterative decoding Joints Modulation Relays Strontium bandwidth efficiency combined source-channel coding compress-and-forward relays cooperative communication decode and forward communication joint source-channel coding quantisation (signal) relay-to-destination channels scalar quantizers

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Study on Mismatched source Transition Probability Matrix using in MAP source- Controlled channel Decoding for MPEG-4 Video Sequence Wireless Transmission Systems

Study on Mismatched Source Transition Probability Matrix usi...

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13th International Symposium on Communications and Information Technologies (ISCIT) - Communication and Information Technology for New Life Style Beyond the Cloud

作者： Mahapakulchai, Srijidtra Parnnark, Duangjai Kasetsart Univ Dept Elect Engn Bangkok Thailand

ISBN: (纸本)9781467355803;9781467355780

In this work, the MAP source-controlled channel decoder with matched and mismatched source transition probability matrix (STPM) is intensively examined for a MPEG-4 video sequence. We attempt to answer whether or not one can use the MAP decoding with a mismatched STPM instead of the MAP decoding with the matched STPM. The matched STPM requires the transmission for every frame images. Here, the commonly " foreman" video input is extracted into 300 frame images. Each image is inserted into the MPEG-4 image transmission system over the Nakagami-m, block-fading channels with rn. = 1.5 2.0 and 2.5. The system performance in in term of the peak signal to noise ratio (PSNR) and word error rate (WER) are summarized at 'b = 3.75 and 5 dB. The results from both MAP decoding with matched STMP and mismatched STMP show the similarity of the system performance. Moreover, the slight improvement is obtained when MAP decoder is compared with ML decoder.

关键词： Nakagami channels combined source-channel coding error statistics image sequences matrix algebra maximum likelihood decoding video coding

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