@inproceedings{a37b182bb8f24243938d709e178b130e,
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.",
author = "G. Vairetti and {van Waterschoot}, T. and M. Moonen and M. Catrysse and Jensen, {S{\o}ren Holdt}",
year = "2014",
doi = "10.1109/IWAENC.2014.6954296",
language = "English",
isbn = "978-1-4799-6808-4",
series = "Proceedings of the International Workshop in Acoustic Echo and Noise Control (IWAENC)",
pages = "248--252",
booktitle = "Acoustic Signal Enhancement (IWAENC), 2014 14th International Workshop on",
publisher = "IEEE",
address = "United States",
note = "IWAENC 2014 : The International Workshop on Acoustic Signal Enhancement ; Conference date: 09-09-2014 Through 11-09-2014",
}