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相关论文: Lossy Coding of Correlated Sources over a Multiple…

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Source and channel coding over multiuser channels in which receivers have access to correlated source side information is considered. For several multiuser channel models necessary and sufficient conditions for optimal separation of the…

信息论 · 计算机科学 2009-07-09 Deniz Gunduz , Elza Erkip , Andrea Goldsmith , H. Vincent Poor

We consider the problem of transmission of several distributed correlated sources over a multiple access channel (MAC) with side information at the sources and the decoder. Source-channel separation does not hold for this channel.…

信息论 · 计算机科学 2016-11-15 R. Rajesh , Vinod Sharma , V. K. Varshenya

We consider the problem of transmission of several distributed sources over a multiple access channel (MAC) with side information at the sources and the decoder. Source-channel separation does not hold for this channel. Sufficient…

信息论 · 计算机科学 2008-03-11 R. Rajesh , Vinod Sharma

In this paper we address the problem of transmission of correlated sources over a fast fading multiple access channel (MAC) with partial channel state information available at both the encoders and the decoder. We provide sufficient…

信息论 · 计算机科学 2009-08-11 R Rajesh , Vinod Sharma

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 reliable transmission of arbitrarily correlated sources over multiple-access relay channels (MARCs) and multiple-access broadcast relay channels (MABRCs). In MARCs only the destination is interested in reconstructing the sources,…

信息论 · 计算机科学 2016-11-17 Yonathan Murin , Ron Dabora , Deniz Gündüz

The problem of joint source-channel coding in transmitting independent sources over interference channels with correlated receiver side information is studied. When each receiver has side information correlated with its own desired source,…

信息论 · 计算机科学 2008-10-15 Nan Liu , Deniz Gunduz , Andrea J. Goldsmith , H. Vincent Poor

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

It is known that, as opposed to point-to-point channel, separate source and channel coding is not optimal in general for sending correlated sources over multiuser channels. In some works joint source-channel coding has been investigated for…

信息论 · 计算机科学 2016-11-15 Sajjad Bahrami , Behrooz Razeghi , Mostafa Monemizadeh , Ghosheh Abed Hodtani

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 work considers reliable transmission of general correlated sources over the multiple-access relay channel (MARC) and the multiple-access broadcast relay channel (MABRC). In MARCs only the destination is interested in a reconstruction…

信息论 · 计算机科学 2012-07-02 Yonathan Murin , Ron Dabora , Deniz Gündüz

We investigate the problem of strong coordination over a multiple-access channel (MAC) with cribbing encoders. In this configuration, two encoders observe independent and identically distributed (i.i.d.) samples of a source random variable…

信息论 · 计算机科学 2025-06-06 Viswanathan Ramachandran , Tobias J. Oechtering , Mikael Skoglund

A lossy source coding problem is studied in which a source encoder communicates with two decoders, one with and one without correlated side information with an additional constraint on the privacy of the side information at the uninformed…

信息论 · 计算机科学 2011-06-13 Ravi Tandon , Lalitha Sankar , H. Vincent Poor

In this paper we provide sufficient conditions for lossy transmission of functions of correlated data over a multiple access channel (MAC). The conditions obtained can be shown as generalized version of Yamamoto's result. We also obtain…

信息论 · 计算机科学 2009-08-11 R Rajesh , Vinod Sharma

This paper studies the random-coding exponent of joint source-channel coding for the multiple-access channel with correlated sources. For each user, by defining a threshold, the messages of each source are partitioned into two classes. The…

信息论 · 计算机科学 2019-04-19 Arezou Rezazadeh , Josep Font-Segura , Alfonso Martinez , Albert Guillén i Fàbregas

We study the problem of simulating a two-user multiple-access channel (MAC) over a multiple access network of noiseless links. Two encoders observe independent and identically distributed (i.i.d.) copies of a source random variable each,…

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

Achievability and converse results for the lossy transmission of correlated sources over Shannon's two-way channels (TWCs) are presented. A joint source-channel coding theorem for independent sources and TWCs for which adaptation cannot…

信息论 · 计算机科学 2018-05-08 Jian-Jia Weng , Fady Alajaji , Tamás Linder

It is well known that separation between lossy source coding and channel coding is asymptotically optimal under classical additive distortion measures. Recently, coding under a new class of quality considerations, often referred to as…

信息论 · 计算机科学 2025-07-02 Chao Tian , Jun Chen , Krishna Narayanan

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
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