In our previous study, we verified that a set of head-related transfer functions (HRTFs) can simultaneously be estimated by treating it as a multi-input single-output (MISO) system. However, this leads to a lack of accuracy if appropriate input signals are not chosen and high computational cost is required to estimate. To improve the accuracy, a novel input design method is proposed. Moreover, we also propose a system identifiation method that reduces the space complexity even when the number of measuring directions increases. The effectiveness of the proposed methods was demonstrated through simultaneous estimation experiments of HRTFs.
https://www.aes.org/e-lib/browse.cfm?elib=17475
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.
Learn more about the AES E-Library
Start a discussion about this paper!