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An additive noise channel is considered, in which the distribution of the noise is nonparametric and unknown. The problem of learning encoders and decoders based on noise samples is considered. For uncoded communication systems, the problem…

信息论 · 计算机科学 2021-11-17 Nir Weinberger

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

This paper revisits a classical scenario in communication theory: a waveform sampled at regular intervals is to be encoded so as to minimize distortion in its reconstruction, despite noise. This transformation must be online (causal), to…

离散数学 · 计算机科学 2019-06-04 Leonard J. Schulman , Piyush Srivastava

In this paper, we generalize the well-known index coding problem to exploit the structure in the source-data to improve system throughput. In many applications, the data to be transmitted may lie (or can be well approximated) in a…

信息论 · 计算机科学 2017-04-11 Bhavya Kailkhura , Lakshmi Narasimhan Theagarajan , Pramod K. Varshney

Polar codes are designed for parallel binary-input additive white Gaussian noise (BiAWGN) channels with an average power constraint. The two main design choices are: the mapping between codeword bits and channels of different quality, and…

信息论 · 计算机科学 2019-05-06 Thomas Wiegart , Tobias Prinz , Fabian Steiner , Peihong Yuan

Scalar quantization and probabilistic shaping are applied to the distributed source coding of Gaussian sources, with mean-square error distortion. A coding scheme with a modulo interval, dithering, and truncated Gaussian shaping is shown to…

信息论 · 计算机科学 2026-04-21 Muhammed Yusuf Sener , Gerhard Kramer , Shlomo Shamai , Ronald Böhnke , Wen Xu

We introduce a novel approach to error correction decoding in the presence of additive alpha-stable noise, which serves as a model of interference-limited wireless systems. In the absence of modifications to decoding algorithms, treating…

信息论 · 计算机科学 2024-10-31 Charles Wiame , Ken R. Duffy , Muriel Médard

An alternative to extrinsic information transfer (EXIT) charts called mean squared error (MSE) charts that use a measure related to the MSE instead of mutual information is proposed. Using the relationship between mutual information and…

信息论 · 计算机科学 2007-07-13 Kapil Bhattad , Krishna Narayanan

An efficient analog network coding transmission protocol is proposed in this letter for a MIMO two way cellular network. Block signal alignment is first proposed to null the inter-user interference for multi-antenna users, which makes the…

信息论 · 计算机科学 2013-08-19 Ming Gan , Zhiguo Ding , Xuchu Dai

In this paper, we propose an oversampling based low-resolution aware least squares channel estimator for large-scale multiple-antenna systems with 1-bit analog-to-digital converters on each receive antenna. To mitigate the information loss…

信号处理 · 电气工程与系统科学 2019-05-15 Z. Shao , L. Landau , R. de Lamare

We consider network coding for a noiseless broadcast channel where each receiver demands a subset of messages available at the transmitter and is equipped with noisy side information in the form an erroneous version of the message symbols…

信息论 · 计算机科学 2018-01-10 Suman Ghosh , Lakshmi Natarajan

The use of open-loop coding can be easily extended to a closed-loop concatenated code if the channel has access to feedback. This can be done by introducing a feedback transmission scheme as an inner code. In this paper, this process is…

信息论 · 计算机科学 2011-02-23 Zachary Chance , David J. Love

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

A rateless transmission architecture is developed for communication over Gaussian intersymbol interference channels, based on the concept of super-Nyquist (SNQ) signaling. In such systems, the signaling rate is chosen significantly higher…

信息论 · 计算机科学 2019-11-20 Uri Erez , Gregory W. Wornell

Semantic communication represents a promising roadmap toward achieving end-to-end communication with reduced communication overhead and an enhanced user experience. The integration of semantic concepts with wireless communications presents…

信息论 · 计算机科学 2023-07-04 Hossein Rezaei , Thushan Sivalingam , Nandana Rajatheva

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 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

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

In this paper we consider the problem of transmitting a continuous alphabet discrete-time source over an AWGN channel. We propose a constructive scheme based on a set of curves on the surface of a N-dimensional sphere. Our approach shows…

信息论 · 计算机科学 2016-11-15 Antonio Campello , Cristiano Torezzan , Sueli I. R. Costa

This paper investigates the problem of zero-delay joint source-channel coding of a vector Gauss-Markov source over a multiple-input multiple-output (MIMO) additive white Gaussian noise (AWGN) channel with feedback. In contrast to the…

信息论 · 计算机科学 2023-10-19 Barron Han , Oron Sabag , Victoria Kostina , Babak Hassibi