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相关论文: The CEO Problem with $r$th Power of Difference and…

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We consider the CEO problem for non-regular source distributions (such as uniform or truncated Gaussian). A group of agents observe independently corrupted versions of data and transmit coded versions over rate-limited links to a CEO. The…

信息论 · 计算机科学 2015-03-24 Aditya Vempaty , Lav R. Varshney

In this paper, we study the vector Gaussian Chief Executive Officer (CEO) problem under logarithmic loss distortion measure. Specifically, $K \geq 2$ agents observe independently corrupted Gaussian noisy versions of a remote vector Gaussian…

信息论 · 计算机科学 2019-02-27 Yigit Ugur , Inaki Estella Aguerri , Abdellatif Zaidi

We study the vector Gaussian Chief Executive Officer (CEO) problem under logarithmic loss distortion measure. Specifically, $K \geq 2$ agents observe independently corrupted Gaussian noisy versions of a remote vector Gaussian source, and…

信息论 · 计算机科学 2020-02-05 Yigit Ugur , Inaki Estella Aguerri , Abdellatif Zaidi

In this paper, we present iterative algorithms that numerically compute the rate-distortion regions of two problems: the two-encoder multiterminal source coding problem and the Chief Executive Officer (CEO) problem, both under logarithmic…

信息论 · 计算机科学 2017-08-25 Yigit Ugur , Inaki Estella Aguerri , Abdellatif Zaidi

The Shannon lower bound has been the subject of several important contributions by Berger. This paper surveys Shannon bounds on rate-distortion problems under mean-squared error distortion with a particular emphasis on Berger's techniques.…

信息论 · 计算机科学 2024-09-24 Michael Gastpar , Erixhen Sula

New bounds on the rate distortion function of certain non-Gaussian sources, with a proportional-weighted mean-square error (MSE) distortion measure, are given. The growth, g, of the rate distortion function, as a result of changing from a…

信息论 · 计算机科学 2007-07-13 Jacob Binia

A new source model, which consists of an intrinsic state part and an extrinsic observation part, is proposed and its information-theoretic characterization, namely its rate-distortion function, is defined and analyzed. Such a source model…

信息论 · 计算机科学 2022-06-02 Jiakun Liu , Shuo Shao , Wenyi Zhang , H. Vincent Poor

Hyperuniformity, where the static structure factor obeys $S(q)\sim q^{\varsigma}$ with $\varsigma> 0$, emerges at criticality in systems having multiple, symmetry-unrelated, absorbing states. Important examples arise in periodically sheared…

统计力学 · 物理学 2025-07-11 Xiao Ma , Johannes Pausch , Gunnar Pruessner , Michael E. Cates

We investigate the general relativistic dynamics of Robertson-Walker models with a non-linear equation of state (EoS), focusing on the quadratic case P = P_0 + \alpha \rho + \beta \rho^2. This may be taken to represent the Taylor expansion…

天体物理学 · 物理学 2008-12-18 Kishore N. Ananda , Marco Bruni

Asymptotic equivalence in Le Cam's sense for nonparametric regression experiments is extended to the case of non-regular error densities, which have jump discontinuities at their endpoints. We prove asymptotic equivalence of such regression…

统计理论 · 数学 2011-01-28 Alexander Meister , Markus Reiß

We consider the disordered monomer-dimer model on general finite graphs with bounded degrees. Under the finite fourth moment assumption on the weight distributions, we prove a Gaussian central limit theorem for the free energy of the…

概率论 · 数学 2024-06-26 Wai-Kit Lam , Arnab Sen

This paper seeks to check the validity of the "apparent fractal conjecture" (Ribeiro 2001ab: gr-qc/9909093, astro-ph/0104181), which states that the observed power-law behaviour for the average density of large-scale distribution of…

天体物理学 · 物理学 2014-10-13 Elcio Abdalla , Roya Mohayaee , Marcelo B. Ribeiro

In this paper we study the asymptotics of linear regression in settings with non-Gaussian covariates where the covariates exhibit a linear dependency structure, departing from the standard assumption of independence. We model the covariates…

机器学习 · 统计学 2024-12-10 Behrad Moniri , Hamed Hassani

We study the rate-distortion problem for both scalar and vector memoryless heavy-tailed $\alpha$-stable sources ($0 < \alpha < 2$). Using a recently defined notion of ``strength" as a power measure, we derive the rate-distortion function…

信息论 · 计算机科学 2026-02-27 Karim Ezzeddine , Jihad Fahs , Ibrahim Abou-Faycal

A stable non ideal Bose system whose energy operator includes a perturbations depending on the square root of the number operator associated to the zero mode energy is analyzed, demonstrating that, in presence or absence of a gap in the one…

统计力学 · 物理学 2020-01-07 Marco Corgini

We model the nonlinear growth of cosmic structure in different dark energy models, using large volume N-body simulations. We consider a range of quintessence models which feature both rapidly and slowly varying dark energy equations of…

宇宙学与河外天体物理 · 物理学 2015-05-18 E. Jennings , C. M. Baugh , R. E. Angulo , S. Pascoli

This paper is concerned with the leader-following output consensus problem in the framework of distributed nonlinear observers. In stead of certain hypotheses on the leader system, a group of geometric conditions is put forward to develop a…

最优化与控制 · 数学 2020-07-09 Haotian Xu , Jingcheng Wang , Bohui Wang , Hongyuan Wang , Ibrahim Brahmia

We characterize the rate-distortion function for zero-mean stationary Gaussian sources under the MSE fidelity criterion and subject to the additional constraint that the distortion is uncorrelated to the input. The solution is given by two…

信息论 · 计算机科学 2008-01-14 Milan S. Derpich , Jan Ostergaard , Graham C. Goodwin

This work performs a non-asymptotic analysis of the generalized Lasso under the assumption of sub-exponential data. Our main results continue recent research on the benchmark case of (sub-)Gaussian sample distributions and thereby explore…

统计理论 · 数学 2023-01-18 Martin Genzel , Christian Kipp

We introduce a new distortion measure for point processes called functional-covering distortion. It is inspired by intensity theory and is related to both the covering of point processes and logarithmic loss distortion. We obtain the…

信息论 · 计算机科学 2022-04-21 Nirmal V. Shende , Aaron B. Wagner
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