Results 31 to 40 of about 96,557 (255)
Research of LT Code Based on Key Information Feedback in Deep Space Communication
IEEE Access, 2020 CCSDS LDPC code cannot effectively solve the problems of communication interruptions and high communication error rates in deep space communication. An application scheme of digital fountain code for deep space communication is thoroughly studied in this
Hai Tian +3 more
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A Formula for the Capacity of the General Gel'fand-Pinsker Channel [PDF]
, 2014 We consider the Gel'fand-Pinsker problem in which the channel and state are general, i.e., possibly non-stationary, non-memoryless and non-ergodic. Using the information spectrum method and a non-trivial modification of the piggyback coding lemma by ...
Tan, Vincent Y. F.
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DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding
ICC 2022 - IEEE International Conference on Communications, 2022 Recent works have shown that the task of wireless transmission of images can be learned with the use of machine learning techniques. Very promising results in end-to-end image quality, superior to popular digital schemes that utilize source and channel coding separation, have been demonstrated through the training of an autoencoder, with a non ...
Tung T. -Y. +3 more
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A Journey from Improper Gaussian Signaling to Asymmetric Signaling
, 2020 The deviation of continuous and discrete complex random variables from the traditional proper and symmetric assumption to a generalized improper and asymmetric characterization (accounting correlation between a random entity and its complex conjugate ...
Alouini, Mohamed-Slim +3 more
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Sparse Regression Codes for Multi-terminal Source and Channel Coding [PDF]
, 2012 We study a new class of codes for Gaussian multi-terminal source and channel coding. These codes are designed using the statistical framework of high-dimensional linear regression and are called Sparse Superposition or Sparse Regression codes.
Tatikonda, Sekhar, Venkataramanan, Ramji
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Successive Refinement of Images with Deep Joint Source-Channel Coding [PDF]
2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019 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 trade-offs, all based on convolutional autoencoders.
D. Burth Kurka, D. Gunduz
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Network Coding Channel Virtualization Schemes for Satellite Multicast Communications
, 2017 In this paper, we propose two novel schemes to solve the problem of finding a quasi-optimal number of coded packets to multicast to a set of independent wireless receivers suffering different channel conditions.
Ghanem, Samah A. M. +3 more
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Deep Joint Source-Channel Coding Based on Semantics of Pixels
, 2022 The semantic information of the image for intelligent tasks is hidden behind the pixels, and slight changes in the pixels will affect the performance of intelligent tasks. In order to preserve semantic information behind pixels for intelligent tasks during wireless image transmission, we propose a joint source-channel coding method based on semantics ...
Sun, Qizheng +5 more
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Deep Joint Source Channel Coding for Privacy-Aware End-to-End Image Transmission
IEEE Transactions on Machine Learning in Communications and NetworkingDeep neural network (DNN)-based joint source and channel coding is proposed for privacy-aware end-to-end image transmission against multiple eavesdroppers. Both scenarios of colluding and non-colluding eavesdroppers are considered.
Mehdi Letafati +5 more
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Relay Switching Aided Turbo Coded Hybrid-ARQ for Correlated Fading Channel
, 2011 Hybrid-Automatic-Repeat-reQuest (HARQ) has become an indispensable technique in reliable communications systems. However, its performance is inevitably affected by the channel’s fading correlation. In this paper, we proposed a novel relay-switching aided
Hanzo, Lajos +2 more
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