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S. Kanai, K. Matsui, Y. Nakayama, and S. Adachi, "Uncorrelated Input Signals Design and Identification with Low-Complexity for Simultaneous Estimation of Head-Related Transfer Functions," Paper 9152, (2014 October.). doi: S. Kanai, K. Matsui, Y. Nakayama, and S. Adachi, "Uncorrelated Input Signals Design and Identification with Low-Complexity for Simultaneous Estimation of Head-Related Transfer Functions," Paper 9152, (2014 October.). doi:
Abstract: 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.

@article{kanai2014uncorrelated,
author={kanai, sekitoshi and matsui, kentaro and nakayama, yasushige and adachi, shuichi},
journal={journal of the audio engineering society},
title={uncorrelated input signals design and identification with low-complexity for simultaneous estimation of head-related transfer functions},
year={2014},
volume={},
number={},
pages={},
doi={},
month={october},} @article{kanai2014uncorrelated,
author={kanai, sekitoshi and matsui, kentaro and nakayama, yasushige and adachi, shuichi},
journal={journal of the audio engineering society},
title={uncorrelated input signals design and identification with low-complexity for simultaneous estimation of head-related transfer functions},
year={2014},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={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.},}

TY - paper
TI - Uncorrelated Input Signals Design and Identification with Low-Complexity for Simultaneous Estimation of Head-Related Transfer Functions
SP - EP -
AU - Kanai, Sekitoshi
AU - Matsui, Kentaro
AU - Nakayama, Yasushige
AU - Adachi, Shuichi
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2014 TY - paper
TI - Uncorrelated Input Signals Design and Identification with Low-Complexity for Simultaneous Estimation of Head-Related Transfer Functions
SP - EP -
AU - Kanai, Sekitoshi
AU - Matsui, Kentaro
AU - Nakayama, Yasushige
AU - Adachi, Shuichi
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2014
AB - 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.