Name
Title | ||
|---|---|---|
An automatic model-building algorithm for sparse approximation of room impulse responses with Orthonormal Basis Functions |
Abstract | ||
|---|---|---|
Orthonormal Basis Function (OBF) models are used to define stable fixed-poles infinite impulse response filter structures that allow to incorporate knowledge about the resonant characteristics of a stable, causal and linear system. In the approximation of a room impulse response, OBF models can include knowledge about the room resonances as a set of poles, which appear nonlinearly in the structure. A novel algorithm is pro-posed, that avoids this nonlinear problem by iteratively estimating the poles and building the model. Some of the properties of OBF models, such as orthogonality and linearity-in-the-parameters, are exploited and the final model has the favorable property of being scalable. The OBF model provides a longer response than the all-zero model and is particularly suited in approximating the early response and the predominant resonances for relatively small model orders. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IWAENC.2014.6954296 | Acoustic Signal Enhancement |
Keywords | Field | DocType |
IIR filters,acoustic signal processing,architectural acoustics,iterative methods,time-frequency analysis,OBF models,automatic model-building algorithm,infinite impulse response filter structures,linearity-in-the-parameters,orthogonality,orthonormal basis functions,resonant characteristics,room impulse responses,room resonances,sparse approximation,Orthogonal Matching Pursuit,Orthonormal Basis Functions,Room Acoustics,Sparse ap-proximation | Approximation algorithm,Impulse response,Linear system,Infinite impulse response,Sparse approximation,Orthogonality,Algorithm,Impulse (physics),Orthonormal basis,Mathematics | Conference |
Citations | PageRank | References |
2 | 0.41 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vairetti, G. | 1 | 2 | 0.41 |
| Toon van Waterschoot | 2 | 157 | 14.29 |
| Moonen, M. | 3 | 18 | 5.36 |
| Catrysse, M. | 4 | 2 | 0.41 |