Name
Abstract | ||
|---|---|---|
Orthonormal Basis Function (OBF) models provide a stable and well-conditioned representation of a linear system. When used for the modeling of room acoustics, useful information about the true dynamics of the system can be introduced by a proper selection of a set of poles, which however appear non-linearly in the model. A novel method for selecting the poles is proposed, which bypass the non-linear problem by exploiting the concept of sparsity and by using convex optimization. The model obtained has a longer impulse response compared to the all-zero model with the same number of parameters, without introducing substantial error in the early response. The method also allows to increase the resolution in a specified frequency region, while still being able to approximate the spectral envelope in other regions. |
Year | Venue | Keywords |
|---|---|---|
2014 | Signal Processing Conference | architectural acoustics,convex programming,convex optimization,nonlinear problem,orthonormal basis functions,room acoustics,sparse linear parametric modeling,Kautz filter,LASSO,Orthonormal Basis Functions,Parametric models,Room acoustics |
Field | DocType | ISSN |
Impulse response,Applied mathematics,Mathematical optimization,Parametric model,Spectral envelope,Linear system,Orthonormal basis,Room acoustics,Convex optimization,Mathematics,Orthonormal basis functions | Conference | 2076-1465 |
Citations | PageRank | References |
3 | 0.45 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vairetti, G. | 1 | 3 | 0.45 |
| Toon van Waterschoot | 2 | 157 | 14.29 |
| Marc Moonen | 3 | 3673 | 326.91 |
| Catrysse, M. | 4 | 4 | 1.48 |