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相关论文: Sending a Bivariate Gaussian Source Over a Gaussia…

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We study the power-versus-distortion trade-off for the transmission of a memoryless bivariate Gaussian source over a two-to-one Gaussian multiple-access channel with perfect causal feedback. In this problem, each of two separate…

信息论 · 计算机科学 2009-03-23 Amos Lapidoth , Stephan Tinguely

We study the power versus distortion trade-off for the distributed transmission of a memoryless bi-variate Gaussian source over a two-to-one average-power limited Gaussian multiple-access channel. In this problem, each of two separate…

信息论 · 计算机科学 2016-11-17 Amos Lapidoth , Stephan Tinguely

We consider a problem where a memoryless bi-variate Gaussian source is to be transmitted over an additive white Gaussian multiple-access channel with two transmitting terminals and one receiving terminal. The first transmitter only sees the…

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

We consider the problem of transmitting a bivariate Gaussian source over a two-user additive Gaussian multiple-access channel with feedback. Each of the transmitters observes one of the source components and tries to describe it to the…

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

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 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 concerns the transmission of two independent Gaussian sources over a two-user decentralized interference channel, assuming that the transmitters are unaware of the instantaneous CSIs. The availability of the channel state…

信号处理 · 电气工程与系统科学 2017-12-21 Mohammadreza Darabi

We investigate whether uncoded schemes are optimal for Gaussian sources on multiuser Gaussian channels. Particularly, we consider two problems: the first is to send correlated Gaussian sources on a Gaussian broadcast channel where each…

信息论 · 计算机科学 2017-03-02 Chao Tian , Jun Chen , Suhas Diggavi , Shlomo Shamai

It has been shown lately the optimality of uncoded transmission in estimating Gaussian sources over homogeneous/symmetric Gaussian multiple access channels (MAC) using multiple sensors. It remains, however, unclear whether it still holds…

信息论 · 计算机科学 2007-09-27 Shuangqing Wei , Rajgopal Kannan , Sitharama Iyengar , Nageswara S. Rao

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

We provide a complete characterization of the achievable distortion region for the problem of sending a bivariate Gaussian source over bandwidth-matched Gaussian broadcast channels, where each receiver is interested in only one component of…

信息论 · 计算机科学 2010-06-04 Chao Tian , Suhas Diggavi , Shlomo Shamai

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

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

In this work, the problem of transmitting an i.i.d Gaussian source over an i.i.d Gaussian wiretap channel with an i.i.d Gaussian side information is considered. The intended receiver is assumed to have a certain minimum SNR and the…

信息论 · 计算机科学 2010-08-03 Ghadamali Bagherikaram , Konstantinos N. Plataniotis

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

We derive the capacity region of the Gaussian version of Willems's two-user MAC with conferencing encoders. This setting differs from the classical MAC in that, prior to each transmission block, the two transmitters can communicate with…

信息论 · 计算机科学 2008-05-06 Shraga I. Bross , Amos Lapidoth , Michele A. Wigger

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

In this work we study encoding/decoding schemes for the transmission of a discrete time analog Gaussian source over a Gaussian wiretap channel. The intended receiver is assumed to have a certain minimum signal to noise ratio (SNR) and the…

信息论 · 计算机科学 2009-08-18 Makesh Pravin Wilson , Krishna Narayanan

A transmitter without channel state information (CSI) wishes to send a delay-limited Gaussian source over a slowly fading channel. The source is coded in superimposed layers, with each layer successively refining the description in the…

信息论 · 计算机科学 2009-10-22 Chris T. K. Ng , Deniz Gunduz , Andrea Goldsmith , Elza Erkip

A transmitter without channel state information (CSI) wishes to send a delay-limited Gaussian source over a slowly fading channel. The source is coded in superimposed layers, with each layer successively refining the description in the…

信息论 · 计算机科学 2009-09-29 Chris T. K. Ng , Deniz Gunduz , Andrea J. Goldsmith , Elza Erkip
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