Results 41 to 50 of about 946 (135)
Linear-Codes-Based Lossless Joint Source-Channel Coding for Multiple-Access Channels
, 2009 A general lossless joint source-channel coding (JSCC) scheme based on linear codes and random interleavers for multiple-access channels (MACs) is presented and then analyzed in this paper.
Chen, Yan +2 more
core +1 more source
Efficient Quantization with Linear Index Coding for Deep‐Space Images
Wireless Communications and Mobile Computing, Volume 2018, Issue 1, 2018., 2018 Due to inevitable propagation delay involved in deep‐space communication systems, very high cost is associated with the retransmission of erroneous segments. Quantization with linear index coding (QLIC) scheme is known to provide compression along with robust transmission of deep‐space images, and thus the likelihood of retransmissions is significantly
Rehan Mahmood +3 more
wiley +1 more source
DD-JSCC: Dynamic Deep Joint Source-Channel Coding for Semantic Communications
ICC 2025 - IEEE International Conference on CommunicationsDeep Joint Source-Channel Coding (Deep-JSCC) has emerged as a promising semantic communication approach for wireless image transmission by jointly optimizing source and channel coding using deep learning techniques. However, traditional Deep-JSCC architectures employ fixed encoder-decoder structures, limiting their adaptability to varying device ...
Raha, Avi Deb +5 more
openaire +2 more sources
A Jointly Optimized Variable M‐QAM and Power Allocation Scheme for Image Transmission
Journal of Computer Networks and Communications, Volume 2012, Issue 1, 2012., 2012 We introduce an improved image transmission scheme over wireless channels with flat Rayleigh fading. The proposed scheme jointly optimizes bit power and modulation level to maximize the peak signal‐to‐noise ratio (PSNR) of the reconstructed image and hence improves the perceptual quality of the received image.
Mohamed El-Tarhuni +3 more
wiley +1 more source
H.264 rate-distortion model based joint source channel coding scheme over wireless channels
Tongxin xuebao, 2008 A new rate-distortion model of H.264 encoder was firstly set up according to the rate distortion（R-D） charac-teristics of H.264.Then,the end-to-end video transmission distortion was analyzed and based on the R-D model of the H.264 encoder and the error ...
GAO Xue-juan, ZHUO Li, SHEN Lan-sun
doaj +2 more sources
SNR-EQ-JSCC: Joint Source-Channel Coding With SNR-Based Embedding and Query
IEEE Wireless Communications LettersCoping with the impact of dynamic channels is a critical issue in joint source-channel coding (JSCC)-based semantic communication systems. In this paper, we propose a lightweight channel-adaptive semantic coding architecture called SNR-EQ-JSCC. It is built upon the generic Transformer model and achieves channel adaptation (CA) by Embedding the signal ...
Hongwei Zhang, Meixia Tao
openaire +2 more sources
Interactive Schemes for the AWGN Channel with Noisy Feedback
, 2017 We study the problem of communication over an additive white Gaussian noise (AWGN) channel with an AWGN feedback channel. When the feedback channel is noiseless, the classic Schalkwijk-Kailath (S-K) scheme is known to achieve capacity in a simple ...
Ben-Yishai, Assaf, Shayevitz, Ofer
core +1 more source
Correlated Jamming in a Joint Source Channel Communication System
, 2014 We study correlated jamming in joint source-channel communication systems. An i.i.d. source is to be communicated over a memoryless channel in the presence of a correlated jammer with non-causal knowledge of user transmission.
Budkuley, Amitalok J. +2 more
core +1 more source
Compressed sensing using sparse binary measurements: a rateless coding perspective [PDF]
, 2015 Compressed Sensing (CS) methods using sparse binary measurement matrices and iterative message-passing re- covery procedures have been recently investigated due to their low computational complexity and excellent performance.
Pizurica, Aleksandra +2 more
core +1 more source
Lossy Joint Source‐Channel Coding Using Raptor Codes
International Journal of Digital Multimedia Broadcasting, Volume 2008, Issue 1, 2008., 2008 The straightforward application of Shannon′s separation principle may entail a significant suboptimality in practical systems with limited coding delay and complexity. This is particularly evident when the lossy source code is based on entropy‐coded quantization. In fact, it is well known that entropy coding is not robust to residual channel errors. In
O. Y. Bursalioglu +4 more
wiley +1 more source