• Aucun résultat trouvé

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

N/A
N/A
Protected

Academic year: 2021

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

Copied!
8
0
0

Texte intégral

Loading

Figure

Figure 2: Representation of an ideal RIR, with isolated peaks in the early reflections becoming denser in the late reverberation.
Figure 3: Frequency response of both the estimated and true filters g in one of the experiments, where the absorption coefficient is 0.7 and σ 2 = 10 −4 (the corresponding SNR is 15 dB).
Figure 5: Comparison of the mean and standard deviation of the estimation over 100 different experiments (blue) to the true  param-eters (orange) as well as the baseline estimation of the T 60 (green) for different absorption parameters.

Références

Documents relatifs

Here our starting point of view already departs from this orthodox mathematical finance literature by directly relating the advent of price bubbles to the structure of the mem- ory

First, when there is no feedback from the cell velocity on the adhesion activity, the model writes as a Cox-Ingersoll-Ross (CIR) process, for which the probability density of the

Coarse-graining : to include nucleation in continuous model Stochastic Becker D¨ oring model.. Variability in nucleation time Re-scaling reaction rates with M Re-scaling nucleus

Subsection 3.2 deals with the control of the regularity of the paths of X via the Hurst parameter of the driving fractional Brownian motion and an application to the modeling of

This paper deals with an extension of the so-called Black-Scholes model in which the volatility is modeled by a linear combination of the components of the solution of a

In a previous paper, we introduced a stochastic room impulse response model based on the image source principle, and we proposed an expectation-maximization algorithm that was able

Heatmaps of (guess vs. slip) LL of 4 sample real GLOP datasets and the corresponding two simulated datasets that were generated with the best fitting

In this paper, we propose a new methodology that aims at sim- ulating the geometry of karstic conduits at a regional scale con- strained by the regional geology, by the