Schlecht SJ (2020)
Publication Type: Conference contribution
Publication year: 2020
Publisher: DAFx
Book Volume: 1
Pages Range: 211-218
Conference Proceedings Title: Proceedings of the International Conference on Digital Audio Effects, DAFx
Event location: Vienna, AUT
Feedback delay networks (FDNs) are recursive filters, which are widely used for artificial reverberation and decorrelation. While there exists a vast literature on a wide variety of reverb topologies, this work aims to provide a unifying framework to design and analyze delay-based reverberators. To this end, we present the Feedback Delay Network Toolbox (FDNTB), a collection of the MATLAB functions and example scripts. The FDNTB includes various representations of FDNs and corresponding translation functions. Further, it provides a selection of special feedback matrices, topologies, and attenuation filters. In particular, more advanced algorithms such as modal decomposition, time-varying matrices, and filter feedback matrices are readily accessible. Furthermore, our toolbox contains several additional FDN designs. Providing MATLAB code under a GNU-GPL 3.0 license and including illustrative examples, we aim to foster research and education in the field of audio processing.
APA:
Schlecht, S.J. (2020). FDNTB: THE FEEDBACK DELAY NETWORK TOOLBOX. In Gianpaolo Evangelista (Eds.), Proceedings of the International Conference on Digital Audio Effects, DAFx (pp. 211-218). Vienna, AUT: DAFx.
MLA:
Schlecht, Sebastian J.. "FDNTB: THE FEEDBACK DELAY NETWORK TOOLBOX." Proceedings of the 23rd International Conference on Digital Audio Effects, eDAFx 2020 and DAFx 2021, Vienna, AUT Ed. Gianpaolo Evangelista, DAFx, 2020. 211-218.
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