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检索条件"主题词=joint source channel coding"

共 118 条记录，以下是81-90 订阅

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Error robustness scheme for scalable video based on the concatenation of LDPC and turbo codes

Error robustness scheme for scalable video based on the conc...

引用

IEEE International Conference on Image Processing (ICIP 2007)

作者： Ramzan, Naeem Wan, Shuai Izquierdo, Ebroul Queen Mary Univ London Dept Elect Engn London England

ISBN: (纸本)9781424414369

In this paper, a novel approach for transmission of scalable video over wireless channel is proposed. The proposed approach jointly optimises the bit allocation between a wavelet-based scalable video coding framework and a forward error correction codes. The forward error correction codes is based on the serial concatenation of LDPC codes and turbo codes. Turbo codes shows good performance at high error rates region but LDPC outperforms turbo codes at low error rates. So the concatenation of LDPC and TC enhances the performance at both low and high signal to noise ratios. The scheme minimizes the reconstructed video distortion at the decoder subject to a constraint on the overall transmission bitrate budget. The minimization is achieved by exploiting the source rate distortion characteristics and the statistics of the available codes. Furthermore, an efficient decoding algorithm is proposed. Experimental results clearly demonstrate the superiority of the proposed approach over conventional forward error correction techniques.

关键词： scalable video coding low density parity check codes double binary turbo codes joint source channel coding

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Robust image transmission using JPEG2000 and turbo-codes

Robust image transmission using JPEG2000 and turbo-codes

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IEEE International Conference on Image Processing (ICIP 2000)

作者： Banister, BA Belzer, B Fischer, TR Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99164 USA

ISBN: (纸本)0780362977;0780362985

A method of combined source and channel coding is described that provides robustness to errors from a binary symmetric channel and uses the JPEG2000 (JP2) image compression standard. The source code rate and channel code rate are jointly optimized to produce a stream of fixed-size channel packets, such that the rate allocation complexity grows O(N-2) with the number of transmitted packets, N. Punctured turbo codes are used for channel coding, providing strong error protection. The rate allocation scheme presented obtains all necessary information from the JP2 encoder, and does not require image decompression.

关键词： image coding joint source channel coding turbo code

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Vision Transformer for Adaptive Image Transmission over MIMO channels

Vision Transformer for Adaptive Image Transmission over MIMO...

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IEEE International Conference on Communications (IEEE ICC)

作者： Wu, Haotian Shao, Yulin Bian, Chenghong Mikolajczyk, Krystian Gunduz, Deniz Imperial Coll London Dept Elect & Elect Engn London SW7 2BT England Univ Exeter Dept Engn Exeter EX4 4PY Devon England

ISBN: (纸本)9781538674628

This paper presents a vision transformer (ViT) based joint source and channel coding (JSCC) scheme for wireless image transmission over multiple-input multiple-output (MIMO) systems, called ViT-MIMO. The proposed ViT-MIMO architecture, in addition to outperforming separation-based benchmarks, can flexibly adapt to different channel conditions without requiring retraining. Specifically, exploiting the self-attention mechanism of the ViT enables the proposed ViT-MIMO model to adaptively learn the feature mapping and power allocation based on the source image and channel conditions. Numerical experiments show that ViT-MIMO can significantly improve the transmission quality across a large variety of scenarios, including varying channel conditions, making it an attractive solution for emerging semantic communication systems.

关键词： joint source channel coding vision transformer MIMO image transmission semantic communications

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BLOCK-SIZE ADAPTIVE TRANSFORM DOMAIN ESTIMATION OF END-TO-END DISTORTION FOR ERROR -RESILIENT VIDEO coding 23

BLOCK-SIZE ADAPTIVE TRANSFORM DOMAIN ESTIMATION OF END-TO-EN...

引用

23rd IEEE International Conference on Image Processing (ICIP)

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

ISBN: (纸本)9781467399616

The accuracy of end-to-end distortion (EED) estimation is crucial to achieving effective error resilient video coding. An established solution, the recursive optimal per-pixel estimate (ROPE), does so by tracking the first and second moments of decoder-reconstructed pixels. An alternative estimation approach, the spectral coefficient wise optimal recursive estimate (SCORE), tracks instead moments of decoder-reconstructed transform coefficients, which enables accounting for transform domain operations. However, the SCORE formulation relies on a fixed transform block size, which is incompatible with recent standards. This paper proposes a non-trivial generalization of the SCORE framework which, in particular, accounts for arbitrary block size combinations involving the current and reference block partitions. This seemingly intractable objective is achieved by a two-step approach: i) Given the fixed block size moments of a reference frame, estimate moments of transform coefficients for the codec-selected current block partition;ii) Convert the current results to transform coefficient moments corresponding to a regular fixed block size grid, to facilitate EED estimation for the next frame. Experimental results first demonstrate the accuracy of the proposed estimate in conjunction with transform domain temporal prediction. Then the estimate is leveraged to optimize the coding mode and yields considerable gains in rate-distortion performance.

关键词： End-to-end distortion joint source channel coding variable block size coding

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A Practical Low Delay Digital Scheme for Wyner-Ziv coding over Gaussian Broadcast channel 55

A Practical Low Delay Digital Scheme for Wyner-Ziv Coding ov...

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55th Annual Conference on Information Sciences and Systems (CISS)

作者： Lin, Zhuobin Chen, Xuechen Lu, Xuming Tan, Hongzhou Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China SYSU Huadu Ind Sci & Technol Inst Guangzhou Peoples R China

ISBN: (纸本)9781665412681

In this paper, we propose a practical low delay digital scheme for lossy transmission of a Gaussian source over Gaussian broadcast channel when there is correlated side information at the receivers. Focusing on two receivers scenario, a bit-filling criterion is applied at the transmitter, to establish a connection between the common layer and refinement layer data. Then, we complete the dirty paper coding according to jointly typicality and finally superimpose the two layers for transmission. At the receiver, we propose a modified log-likelihood ratio-belief propagation decoding algorithm to utilize side information. And a typical-set based decoding algorithm is introduced to be an effective supplement if the decoding decision of the successive canceling method fails. Simulated results show that the proposed typical set decoding algorithm plays an excellent part in refinement layer recovery, and on the whole, the proposed digital scheme renders better reconstruction accuracy than the corresponding low delay separate source channel coding.

关键词： Wyner-Ziv coding Gaussian Broadcast channel joint source channel coding Dirty Paper coding Successive Canceling Typical Set

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EFFICIENT TRANSMISSION OF MULTIVIEW VIDEO OVER UNRELIABLE channelS

EFFICIENT TRANSMISSION OF MULTIVIEW VIDEO OVER UNRELIABLE CH...

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20th IEEE International Conference on Image Processing (ICIP)

作者： Ramzan, Naeem Amira, Abbes Grecos, Christos Univ West Scotland Sch Comp Paisley Renfrew Scotland

ISBN: (纸本)9781479923410

This paper proposes an approach for the joint optimization of multiview video coding (MVC) and a forward error correction method based on Turbo codes. The scheme minimizes the reconstructed 3D video distortion at the display subject to a constraint on the overall transmission bitrate budget. The minimization is achieved by exploiting the source rate distortion characteristics and the statistics of the available codes. Experimental results show that the proposed approach outperforms conventional equal error protection techniques at different signal-to-noise ratios. It also significantly improves the performance of end to end 3D content transmission at high packet loss rate or low signal-to-noise ratio.

关键词： Multiview video double binary turbo codes joint source channel coding

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Progressive image transmission over wavelet packet based OFDM

Progressive image transmission over wavelet packet based OFD...

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19th IEEE Canadian Conference on Electrical and Computer Engineering

作者： Wang, Sashuang Dai, Jufeng Hou, Chunping Liu, Xueqing Tianjin Univ Sch Elect Informat Engn Tianjin 300072 Peoples R China Tianjin Univ Sch Elect Informat Engn Tianjin 300072 Peoples R China Tianjin Univ Sch Elect Informat Engn Tianjin 300072 Peoples R China Chinese Acad Sci Grad Univ Beijing 100039 Peoples R China

ISBN: (纸本)9781424400379

In this paper, a new scheme for progressive image transmission over wavelet packet based orthogonal frequency division multiplexing (WP-OFDM) system is proposed. First, the BER performances of WP-OFDM systems with different Daubechies wavelet as orthogonal basis functions in multipath fading channel are invisticated The results show that there are error floors in the BER curves, so an equalization method is applied to eliminate the error floor. Then in the WP-OFDM system with the equalization method, a joint source channel coding (JSCC) method is introduced to give image encoder output bit streams with different perception importance unequal error protection. Simulation results confirm the effectiveness of our proposed image transmission scheme.

关键词： wavelet packet unequal error protection OFDM equalization joint source channel coding adaptive allocation

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On the Transmission of a Laplacian source over an AWLN channel with Bandwidth Compression

On the Transmission of a Laplacian Source over an AWLN Chann...

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6th International Symposium on Telecommunications (IST) with Emphasis on Information and Communication Technology

作者： Abbasi, Fariba Aghagolzadeh, Ali Behroozi, Hamid Univ Tabriz Fac Elect & Comp Engn Tabriz Iran Babol Univ Technol Fac Elect & Comp Engn Babol Iran Sharif Univ Technol Dept Elect Engn Tehran Iran

ISBN: (纸本)9781467320733

We study transmission of a memoryless Laplacian source over an average-power limited additive white Laplacian noise (AWLN) channel under bandwidth compression in two cases: 1) matched signal-to-noise ratio (SNR), 2) mismatched SNR. A hybrid digital-analog (HDA) joint source-channel coding (JSCC) scheme is proposed and show that this scheme can achieve a distortion very close to the lower bound on mean-absolute error (MAE) distortion under matched SNR conditions.

关键词： Additive white Laplacian noise (AWLN) channel bandwidth compression hybrid digital-analog (HDA) coding joint source channel coding

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Transmission of Gaussian source Using Ternary Convolutional Low Density Generator Matrix Codes 16

Transmission of Gaussian Source Using Ternary Convolutional ...

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16th IEEE International Conference on Communication Systems (IEEE ICCS)

作者： Wu, Qiaoqiao Ji, Meiying Sun, Jiachen Ma, Xiao Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou 510006 Guangdong Peoples R China Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou 510006 Guangdong Peoples R China Sun Yat Sen Univ Guangdong Key Lab Informat Secur Technol Guangzhou 510006 Guangdong Peoples R China

ISBN: (纸本)9781538678640

In this paper, we propose a new joint source-channel coding (JSCC) scheme to transmit a Gaussian source over an additive white Gaussian noise (AWGN) channel, where the channel input constraint is on energy per source symbol rather than per channel symbol. The JSCC scheme is based on an embedded Lloyd-Max quantizer with adjustable quantization levels and the ternary convolutional low density generator matrix (LDGM) codes, which are easily configurable in the sense that any rational code rate can be achieved without complicated optimization. In our scheme, first, a Gaussian source is quantized into ternary symbols, which can be formatted into different symbol planes according to their contribution to the distortion. Second, the symbol planes are encoded by a ternary convolutional LDGM code, where the relatively important symbol plane is encoded with a lower code rate. Third, the coded sequence is modulated in 3-PAM and then transmitted over the channel. Numerical results show that the proposed scheme performs close to the Shannon limit, and that the distortion can be lowered down by increasing the number of quantization levels.

关键词： Gaussian source quantization joint source channel coding ternary convolutional low density generator matrix codes

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Efficient Image Transmission over MIMO channel using Compressive Sensing

Efficient Image Transmission over MIMO Channel using Compres...

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3rd International Conference on Computing Communication and Networking Technologies (ICCCNT)

作者： Vijaykumar, V. R. Ashok, K. Dhivya, K. Anna Univ Coimbatore Tamil Nadu India

ISBN: (纸本)9781467356930

In wireless communication, the channel is characterized by multi path propagation due to scattering by different obstacles. Multiple Input Multiple Output (MIMO) channels which consider this multipath propagation offers significant increase in data throughput and link range without additional bandwidth or transmit power. With the availability of high data rates by MIMO channel, images can be transmitted with high reliability. In this paper, both source coding and channel coding techniques of an image are employed. An image is source coded by using Compressive Sensing (CS) algorithm where the input image is converted to numerical data. These numerical data's are then space time block coded which can be transmitted simultaneously over the four antennas. Then unequal power allocation scheme is employed over those data streams in which each transmitting antenna gets different amount of power according to the data it transmits. The results are simulated using MATLAB. The results show that the unequal power allocation provides significant quality improvement than the conventional equal power allocation technique. The results also reveal that spatial diversity can be achieved at a higher rate using Compressive Sensing than with JPEG and JPEG 2000 compression algorithms.

关键词： MIMO compressive sensing unequal power allocation joint source channel coding space time block codes

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