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相关论文: Lossy Transmission of Correlated Sources over Two-…

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The problem of lossy transmission of correlated sources over memoryless two-way channels (TWCs) is considered. The objective is to develop a robust low delay and low complexity source-channel coding scheme without using error correction. A…

信息论 · 计算机科学 2019-07-23 Saeed Rezazadeh , Fady Alajaji , Wai-Yip Chan

We propose an adaptive lossy joint source-channel coding (JSCC) scheme for sending correlated sources over two-terminal discrete-memoryless two-way channels (DM-TWCs). The main idea is to couple the independent operations of the terminals…

信息论 · 计算机科学 2020-06-29 Jian-Jia Weng , Fady Alajaji , Tamás Linder

A joint source-channel coding (JSCC) scheme based on hybrid digital/analog coding is proposed for the transmission of correlated sources over discrete-memoryless two-way channels (DM-TWCs). The scheme utilizes the correlation between the…

信息论 · 计算机科学 2020-08-13 Jian-Jia Weng , Fady Alajaji , Tamás Linder

The problem of broadcasting a pair of correlated Gaussian sources using optimal separate source and channel codes is studied. Considerable performance gains over previously known separate source-channel schemes are observed. Although…

信息论 · 计算机科学 2011-05-10 Yang Gao , Ertem Tuncel

Lossy transmission over a relay channel in which the relay has access to correlated side information is considered. First, a joint source-channel decode-and-forward scheme is proposed for general discrete memoryless sources and channels.…

信息论 · 计算机科学 2016-11-17 Deniz Gunduz , Elza Erkip , Andrea J. Goldsmith , H. Vincent Poor

Analog (uncoded) transmission provides a simple and robust scheme for communicating a Gaussian source over a Gaussian channel under the mean squared error (MSE) distortion measure. Unfortunately, its performance is usually inferior to the…

信息论 · 计算机科学 2010-06-03 Yuval Kochman , Ram Zamir

This paper considers the problem of transmitting the difference of two jointly Gaussian sources over a two-user additive Gaussian noise multiple access channel (MAC). The goal is to recover this difference within an average mean squared…

信息论 · 计算机科学 2008-12-08 Rajiv Soundararajan , Sriram Vishwanath

This paper provides lower bounds on the reconstruction error for transmission of two continuous correlated random vectors sent over both sum and parallel channels using the help of two causal feedback links from the decoder to the encoders…

信息论 · 计算机科学 2013-08-16 Ayşe Ünsal , Raymond Knopp

Lossy coding of correlated sources over a multiple access channel (MAC) is studied. First, a joint source-channel coding scheme is presented when the decoder has correlated side information. Next, the optimality of separate source and…

信息论 · 计算机科学 2018-06-18 Basak Guler , Deniz Gunduz , Aylin Yener

An adaptive joint source-channel coding (JSCC) scheme is presented for transmitting correlated sources over discrete-memoryless two-way channels subject to distortion constraints. The proposed JSCC scheme makes use of the previously…

信息论 · 计算机科学 2020-08-13 Jian-Jia Weng , Fady Alajaji , Tamás Linder

We consider the transmission of a memoryless bivariate Gaussian source over an average-power-constrained one-to-two Gaussian broadcast channel. The transmitter observes the source and describes it to the two receivers by means of an…

信息论 · 计算机科学 2009-03-20 Shraga Bross , Amos Lapidoth , Stephan Tinguely

This paper considers a degraded Gaussian broadcast channel over which Gaussian sources are to be communicated. When the sources are independent, this paper shows that hybrid coding achieves the optimal distortion region, the same as that of…

信息论 · 计算机科学 2009-06-16 Rajiv Soundararajan , Sriram Vishwanath

We consider the problem of distributed joint source-channel coding of correlated Gaussian sources over a Gaussian Multiple Access Channel (GMAC). There may be side information at the decoder and/or at the encoders. First we specialize a…

信息论 · 计算机科学 2009-05-15 R Rajesh , Vinod Sharma

We study the transmission of a set of correlated sources $(U_1,\cdots,U_K)$ over a Gaussian multiple access relay channel with time asynchronism between the encoders. We assume that the maximum possible offset ${\mathsf{d_{max}}}(n)$…

信息论 · 计算机科学 2014-08-11 Hamidreza Ebrahimzadeh Saffar , Masoud Badiei Khuzani , Patrick Mitran

Transmission of a Gaussian source over a time-varying Gaussian channel is studied in the presence of time-varying correlated side information at the receiver. A block fading model is considered for both the channel and the side information,…

信息论 · 计算机科学 2015-05-27 Iñaki Estella Aguerri , Deniz Gündüz

This paper investigates the joint source-channel coding problem of sending two correlated memoryless sources with common part over a memoryless multiple access channel (MAC). An inner bound and two outer bounds on the achievable distortion…

信息论 · 计算机科学 2016-12-13 Lei Yu , Houqiang Li , Chang Wen Chen

We study the joint source-channel coding problem of transmitting a discrete-time analog source over an additive white Gaussian noise (AWGN) channel with interference known at transmitter.We consider the case when the source and the…

信息论 · 计算机科学 2011-10-26 Yu-Chih Huang , Krishna R. Narayanan

Shannon's channel coding theorem describes the maximum possible rate of reliable information transfer through a classical noisy communication channel. It, together with the source coding theorem, characterizes lossless channel communication…

量子物理 · 物理学 2021-05-17 Sristy Agrawal , Rajashik Tarafder , Graeme Smith , Arup Roy , Manik Banik

The problem of sending two correlated vector Gaussian sources over a bandwidth-matched two-user scalar Gaussian broadcast channel is studied in this work, where each receiver wishes to reconstruct its target source under a covariance…

信息论 · 计算机科学 2015-03-11 Lin Song , Jun Chen , Chao Tian

We propose to send a Gaussian source over an average-power limited additive white Gaussian noise channel by transmitting a linear combination of the source sequence and the result of its quantization using a high dimensional Gaussian vector…

信息论 · 计算机科学 2007-07-16 Shraga Bross , Amos Lapidoth , Stephan Tinguely
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