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[PDF] Top 20 Unified Stochastic Reverberation Modeling

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Unified Stochastic Reverberation Modeling

Unified Stochastic Reverberation Modeling

... late reverberation: after a time called transition time [2], [3], reflections are so frequent that they form a continuum and, because the sound is partially absorbed by the room surfaces at every reflection, the ... Voir le document complet

6

Research report on unified stochastic reverberation modeling

Research report on unified stochastic reverberation modeling

... that reverberation can be characterized statistically in a particular region of the time-frequency domain (after the transition time and above Schroeder’s ...of reverberation: exponential decay over time, ... Voir le document complet

9

Stochastic reverberation model for uniform and non-diffuse acoustic fields

Stochastic reverberation model for uniform and non-diffuse acoustic fields

... We first considered synthetic RIRs generated by the Room- simove toolbox [15], which is a state-of-the-art RIR generator based on the source image principle. Roomsimove is dedicated to parallelepipedic (”shoebox”) rooms ... Voir le document complet

33

Stochastic Modeling of Impulse Responses in Reverberating Environments

Stochastic Modeling of Impulse Responses in Reverberating Environments

... Our derivations focus on the case of a single-cluster PDP, which comes with a mathematical description simple enough as to yield insightful understanding of the physical phenomena behind their complex behavior. The ... Voir le document complet

14

A Unified Stochastic Model of Handover Measurement in Mobile Networks

A Unified Stochastic Model of Handover Measurement in Mobile Networks

... While a handover control problem can be studied con- ventionally in a simplified model of two cells, see e.g., [8], [9], in which a handover decision is made by assigning the mobile to one of them, the handover ... Voir le document complet

18

EVALUATION OF A STOCHASTIC REVERBERATION MODEL BASED ON THE IMAGE SOURCE PRINCIPLE

EVALUATION OF A STOCHASTIC REVERBERATION MODEL BASED ON THE IMAGE SOURCE PRINCIPLE

... for modeling reverberation in- clude the use of a spatial covariance matrix [7], complex Gaussian latent variables [8] or a more general Student’s t model ...of reverberation, based on a previous ... Voir le document complet

8

Chaotic reverberation chambers for electromagnetic compatibility

Chaotic reverberation chambers for electromagnetic compatibility

... Another CRC was specifically designed by our group in INPHYNI for testing communication between monopole antennas in a complex reverber- ating environment (see Fig. 3 ) in the framework of experimental investiga- tions ... Voir le document complet

9

Stochastic modeling of chemical-mechanical coupling in striated muscles

Stochastic modeling of chemical-mechanical coupling in striated muscles

... plifying modeling assumptions can be introduced to ob- tain more tractable descriptions of the probability den- sities and/or direct expressions governing the macro- scopic ...in modeling an active ... Voir le document complet

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Stochastic Modeling Applied to Vehicle-Track Performance and Safety

Stochastic Modeling Applied to Vehicle-Track Performance and Safety

... modeling and calibration. Most of the trucks used in the coal car fleet were frame braced. Measured lateral and vertical force values for the high rail side of the leading axle were used for comparison and ... Voir le document complet

7

Random Walk Based Stochastic Modeling of 3D Fiber Systems

Random Walk Based Stochastic Modeling of 3D Fiber Systems

... [23] J. Ohser and K. Schladitz. 3d Images of Materials Structures – Processing and Analysis. Wiley VCH, Weinheim, 2009. [24] Yi Pan, Lucian Iorga, and Assimina A. Pelegri. Numerical generation of a random chopped fiber ... Voir le document complet

16

Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures

Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures

... Stochastic Differential Equations (sODE and sPDE). Stochastic Ordinary Differ- ential Equations (sODE) and their higher dimensional counter-parts, stochastic Partial Differential Equations (sPDE) ... Voir le document complet

40

Modeling the Dynamics of Credit Spreads with Stochastic Volatility

Modeling the Dynamics of Credit Spreads with Stochastic Volatility

... Mots clés : risque de crédit; écarts de crédit; modèles à forme réduite; volatilité stochastique. The paper investigates a two -factor affine model for the credit spreads on corporate bonds. The first factor can be ... Voir le document complet

55

Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures

Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures

... 1.1 Modeling visual motion perception A normative explanation for the function of perception is to infer relevant unknown real world parameters from the sensory input with respect to a generative model (Gre- gory ... Voir le document complet

39

Towards unified dataset for Modeling and Monitoring of Computer Assisted Medical Interventions

Towards unified dataset for Modeling and Monitoring of Computer Assisted Medical Interventions

... In the M2CAMI group, data acquisition and analysis are oriented towards surgical workflow detection and understanding. In order to build a unified framework to convert data into a generic representation, we pro- ... Voir le document complet

4

Dependence modeling between continuous time stochastic processes : an application to electricity markets modeling and risk management

Dependence modeling between continuous time stochastic processes : an application to electricity markets modeling and risk management

... that modeling the distribution of a couple of random variables (X, Y ) is equivalent than modeling the law of X, the law of Y and a copula function C corresponding to the dependence between the ... Voir le document complet

226

Scenario tree modeling for stochastic short-term hydropower operations planning

Scenario tree modeling for stochastic short-term hydropower operations planning

... Pascal Cˆ ot´ e b a GERAD & Polytechnique Montr´ eal, Montr´ eal (Qu´ ebec) Canada, H3C 3A7 b GERAD & Rio Tinto, Saguenay (Qu´ ebec) Canada, G7S 4R5 Abstract: The authors investigate the complexity needed in the ... Voir le document complet

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SURROGATE MODELING OF STOCHASTIC FUNCTIONS-APPLICATION TO COMPUTATIONAL ELECTROMAGNETIC DOSIMETRY

SURROGATE MODELING OF STOCHASTIC FUNCTIONS-APPLICATION TO COMPUTATIONAL ELECTROMAGNETIC DOSIMETRY

... Surrogate modeling of random functions 3.1 Meta-modeling of deterministic functions Despite the progress in high performance calculation, simulations still require a large com- putation ... Voir le document complet

22

Multiple speakers in reverberation room measurements

Multiple speakers in reverberation room measurements

... / La version de cette publication peut être l’une des suivantes : la version prépublication de l’auteur, la version acceptée du manuscrit ou la version de l’éditeur. For the publisher’[r] ... Voir le document complet

14

Dependability modeling and evaluation – From AADL to stochastic Petri nets

Dependability modeling and evaluation – From AADL to stochastic Petri nets

... subnets modeling the replicas of each software unit are ...those modeling identical dependencies between identical components are ...our modeling approach is part of a real-life system formed of ... Voir le document complet

191

Random sound field in reverberation chambers

Random sound field in reverberation chambers

... Random sound field in reverberation chambers Balachandran, C. G. https://publications-cnrc.canada.ca/fra/droits L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans ... Voir le document complet

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