Abstract
The relative transfer function (RTF) is a generalization of the delay-based array manifold, which is applicable to reverberant environments with multiple reflections. Beamformers that utilize RTF are known to outperform the simpler beamforming techniques that use delay-based steering vectors. Adopting established models of the acoustic transfer functions and utilizing recent contributions which derive the probability distribution of the ratio of independent complex-Gaussian random variables, we derive a probability distribution model for the RTF. The model is verified and compared to the empirical distribution in multiple Monte-Carlo experiments.
| Original language | English |
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| Title of host publication | 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 56-60 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538681510 |
| DOIs | |
| State | Published - 2 Nov 2018 |
| Event | 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Tokyo, Japan Duration: 17 Sep 2018 → 20 Sep 2018 |
Publication series
| Name | 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings |
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Conference
| Conference | 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 |
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| Country/Territory | Japan |
| City | Tokyo |
| Period | 17/09/18 → 20/09/18 |
Bibliographical note
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