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相关论文: Minimum Expected Distortion in Gaussian Layered Br…

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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

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

An encoder, subject to a rate constraint, wishes to describe a Gaussian source under squared error distortion. The decoder, besides receiving the encoder's description, also observes side information consisting of uncompressed source symbol…

信息论 · 计算机科学 2013-05-10 Chris T. K. Ng , Chao Tian , Andrea J. Goldsmith , Shlomo Shamai

Delay constrained linear transmission (LT) strategies are considered for the transmission of composite Gaussian measurements over an additive white Gaussian noise fading channel under an average power constraint. If the channel state…

信息论 · 计算机科学 2016-11-15 Onur Tan , Deniz Gunduz , Jesus Gomez Vilardebo

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

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 investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements from an underlying random process, code and transmit those…

信息论 · 计算机科学 2007-07-13 Nan Liu , Sennur Ulukus

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

A distributed lossy compression network with $L$ encoders and a decoder is considered. Each encoder observes a source and sends a compressed version to the decoder. The decoder produces a joint reconstruction of target signals with the mean…

信息论 · 计算机科学 2022-06-06 Siyao Zhou , Sadaf Salehkalaibar , Jingjing Qian , Jun Chen , Wuxian Shi , Yiqun Ge , Wen Tong

This work concerns minimizing the achievable distortion of a Gaussian source over a two-hop block fading channel under mean square-error criterion. It is assumed that there is not a direct link between transmission ends and the…

信息论 · 计算机科学 2016-05-31 Sayed Ali Khodam Hoseini , Soroush Akhlaghi , Mina Baghani

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

We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements from an underlying random process, code and transmit those…

信息论 · 计算机科学 2007-07-13 Nan Liu , Sennur Ulukus

Consider a lossy compression system with $\ell$ distributed encoders and a centralized decoder. Each encoder compresses its observed source and forwards the compressed data to the decoder for joint reconstruction of the target signals under…

信息论 · 计算机科学 2018-07-19 Yizhong Wang , Li Xie , Xuan Zhang , Jun Chen

Transmission of a Gaussian source over a time-varying multiple-input multiple-output (MIMO) channel is studied under strict delay constraints. Availability of a correlated side information at the receiver is assumed, whose quality, i.e.,…

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

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

Minimum power required to achieve a distortion-noise profile, i.e., a function indicating the maximum allowed distortion value for each noise level, is studied for the transmission of Gaussian sources over Gaussian channels under a regime…

信息论 · 计算机科学 2020-01-22 Mohammadamin Baniasadi , Ertem Tuncel

The transmission of a Gaussian source over a block-fading multiple antenna channel in the presence of a feedback link is considered. The feedback link is assumed to be an error and delay free link of capacity 1 bit per channel use. Under…

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

We consider the transmission of a memoryless bivariate Gaussian source over a two-user additive Gaussian multiple-access channel with unidirectional conferencing encoders. Here, prior to each transmission block, Encoder 1, which observes…

信息论 · 计算机科学 2015-12-31 Shraga I. Bross , Yaron Laufer

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

As shown by M\'edard, the capacity of fading channels with imperfect channel-state information (CSI) can be lower-bounded by assuming a Gaussian channel input $X$ with power $P$ and by upper-bounding the conditional entropy $h(X|Y,\hat{H})$…

信息论 · 计算机科学 2016-11-15 Adriano Pastore , Tobias Koch , Javier Rodríguez Fonollosa
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