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[PDF] Top 20 Duality with Linear-Feedback Schemes for the Scalar Gaussian MAC and BC

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Duality with Linear-Feedback Schemes for the Scalar Gaussian MAC and BC

Duality with Linear-Feedback Schemes for the Scalar Gaussian MAC and BC

... NTRODUCTION Feedback is known to increase the capacity of multi-user channels such as the multi-access channel (MAC) and the broadcast channel ...But for most multi-user ... Voir le document complet

5

MIMO MAC-BC Duality With Linear-Feedback Coding Schemes

MIMO MAC-BC Duality With Linear-Feedback Coding Schemes

... setup with equal noise variances and when the noises are uncorrelated, both LMMSE-based schemes (with and without memory) are outperformed by the linear- ... Voir le document complet

24

Linear-Feedback MAC-BC Duality for Correlated BC-Noises, and Iterative Coding

Linear-Feedback MAC-BC Duality for Correlated BC-Noises, and Iterative Coding

... choose the codewords. Here, we show that on the two-user Gaussian BC it is linear-feedback sum-rate optimal to use exactly the same encoders and decoders as Ozarow ... Voir le document complet

9

MAC-BC duality with linear-feedback schemes

MAC-BC duality with linear-feedback schemes

... coding schemes, called linear-feedback schemes [1], where the tansmitter(s) can use the feedback signals only in a linear ...use, the produced inputs are ... Voir le document complet

6

Non linear finite volume schemes for the heat equation in 1D.

Non linear finite volume schemes for the heat equation in 1D.

... volume schemes are very convenient for complex applications [9, 18, 1, 3, 12, ...nowadays the development of linear and non linear finite volume methods for the ... Voir le document complet

28

Sensitivity analysis with dependent random variables : Estimation of the Shapley effects for unknown input distribution and linear Gaussian models

Sensitivity analysis with dependent random variables : Estimation of the Shapley effects for unknown input distribution and linear Gaussian models

... than the Pick-and-Freeze estimator. Then, we extend the estimators of the conditional elements (the double Monte- Carlo estimator and the Pick-and-Freeze estimator) ... Voir le document complet

299

Latin Hypercube Sampling of Gaussian random field for Sobol' global sensitivity analysis of models with spatial inputs and scalar output

Latin Hypercube Sampling of Gaussian random field for Sobol' global sensitivity analysis of models with spatial inputs and scalar output

... Sampling; Gaussian random field; unconditionnal simulation ...tools for the modeller: they allow robustness of model predictions to be checked and help identifying the input factors ... Voir le document complet

5

Approximate Capacity of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback

Approximate Capacity of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback

... at the expense of less precision. Note also that whether the bounds are active (achievable or converse) in either of the equalities in (51) depend on the exact values of −−→ SNR 1 , −−→ SNR 2 ... Voir le document complet

42

Non linear dynamics in semiconductor lasers with optical feedback

Non linear dynamics in semiconductor lasers with optical feedback

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

287

Filtering in Gaussian linear systems with fuzzy switches

Filtering in Gaussian linear systems with fuzzy switches

... chain for r N 1 ). Fig. (c) assumes that the jumps are unknown (OFSRF ...observe the restoration difference between the ‘classic’ CGOMSM and the ‘fuzzy’ CGOFMSM, the ... Voir le document complet

11

Explicit Runge--Kutta schemes and finite elements with symmetric stabilization for first-order linear PDE systems

Explicit Runge--Kutta schemes and finite elements with symmetric stabilization for first-order linear PDE systems

... (RK) schemes in time and finite elements with symmetric stabilization in ...RK schemes are popular methods to approximate in time systems of ordinary dif- ferential ...In the context of ... Voir le document complet

29

Linear Precoding for Capacity maximization in MU-MIMO BC Channels

Linear Precoding for Capacity maximization in MU-MIMO BC Channels

... abstract and introduction is provided at the beginning of each chap- ...studied for example in [9, 14] showing that the performances increase linearly with the minimum of ... Voir le document complet

209

Finite-dimensional Gaussian approximation with linear inequality constraints

Finite-dimensional Gaussian approximation with linear inequality constraints

... evaluate the efficiency of the MC and MCMC approaches described in Subsection ...on the examples from Figure 2. In order to reduce the simulation cost, we used m = 30 hat basis ... Voir le document complet

22

A Convex Approach to Robust Stability for Linear Systems with Uncertain Scalar Parameters

A Convex Approach to Robust Stability for Linear Systems with Uncertain Scalar Parameters

... Unité de recherche INRIA Rocquencourt Domaine de Voluceau - Rocquencourt - BP 105 - 78153 Le Chesnay Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois -[r] ... Voir le document complet

28

Channel Impulsive Noise Mitigation for Linear Video Coding Schemes

Channel Impulsive Noise Mitigation for Linear Video Coding Schemes

... considers the problem of impulse noise mitigation when video is encoded using a SoftCast-based Linear Video Coding (LVC) scheme and transmitted using an Orthogonal Frequency-Division Multiplexing ... Voir le document complet

6

Linear Koszul duality II - Coherent sheaves on perfect sheaves

Linear Koszul duality II - Coherent sheaves on perfect sheaves

... Compatibility with inverse image in the case of smooth varieties. The isomor- phism of Proposition ...work with in general since the functor ˆ π ! has not a completely explicit ...in ... Voir le document complet

26

Introduction and study of fourth order theta schemes for linear wave equations

Introduction and study of fourth order theta schemes for linear wave equations

... loss. The explicit schemes A and B must respect their stability condition, leading to a maximal time step allowed of respec- tively ∆t ≈ ...−5 and ∆t ≈ √ 3 × 1.8 × 10 −5 . The last two ... Voir le document complet

23

Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC

Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC

... of the sigmoid range. We assessed the proposed GP emulator accounting for either boundedness constraints, monotonicity constraints or ...computed the CPU time and the Q 2 ... Voir le document complet

13

Decentralized estimation of linear Gaussian systems

Decentralized estimation of linear Gaussian systems

... It is our purpose to characterize the "best" processing schemes in terms of an overall performance measure; our estimation problem will thus become a stochastic team[r] ... Voir le document complet

29

Limit theorems for sums of non linear function of ARFIMA processes with random Hurst exponents and Gaussian innovations

Limit theorems for sums of non linear function of ARFIMA processes with random Hurst exponents and Gaussian innovations

... A and X B are similar to FARIMA(0, ¯ d, 0) process; in particular, their partial sums converge to a fractional Brownian motion with parameter ¯ d + ...(1/2). The most techni- cal part of the ... Voir le document complet

26

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