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P. Majdak, P. Balazs, and B. Laback, "Multiple Exponential Sweep Method for Fast Measurement of Head-Related Transfer Functions," J. Audio Eng. Soc., vol. 55, no. 7/8, pp. 623-637, (2007 July.). doi: P. Majdak, P. Balazs, and B. Laback, "Multiple Exponential Sweep Method for Fast Measurement of Head-Related Transfer Functions," J. Audio Eng. Soc., vol. 55 Issue 7/8 pp. 623-637, (2007 July.). doi:
Abstract: Presenting sounds in virtual environments requires filtering free-field signals with head-related transfer functions (HRTF). HRTFs describe the filtering effects of pinna, head, and torso measured in the ear canal of a subject. The measurement of HRTFs for many positions in space is a time-consuming procedure. To speed up the HRTF measurement, the multiple exponential sweep method (MESM) was developed. MESM speeds up the measurement by overlapping sweeps in an optimized way and retrieves the impulse responses of the measured systems. MESM and its parameter optimization are described. As an example of an application of MESM, the measurement duration of an HRTF set with 1550 positions is compared to the unoptimized method. Using MESM, the measurement duration could be reduced by a factor of four without a reduction of the signal-to-noise ratio.

@article{majdak2007multiple,
author={majdak, piotr and balazs, peter and laback, bernhard},
journal={journal of the audio engineering society},
title={multiple exponential sweep method for fast measurement of head-related transfer functions},
year={2007},
volume={55},
number={7/8},
pages={623-637},
doi={},
month={july},} @article{majdak2007multiple,
author={majdak, piotr and balazs, peter and laback, bernhard},
journal={journal of the audio engineering society},
title={multiple exponential sweep method for fast measurement of head-related transfer functions},
year={2007},
volume={55},
number={7/8},
pages={623-637},
doi={},
month={july},
abstract={presenting sounds in virtual environments requires filtering free-field signals with head-related transfer functions (hrtf). hrtfs describe the filtering effects of pinna, head, and torso measured in the ear canal of a subject. the measurement of hrtfs for many positions in space is a time-consuming procedure. to speed up the hrtf measurement, the multiple exponential sweep method (mesm) was developed. mesm speeds up the measurement by overlapping sweeps in an optimized way and retrieves the impulse responses of the measured systems. mesm and its parameter optimization are described. as an example of an application of mesm, the measurement duration of an hrtf set with 1550 positions is compared to the unoptimized method. using mesm, the measurement duration could be reduced by a factor of four without a reduction of the signal-to-noise ratio.},}

TY - paper
TI - Multiple Exponential Sweep Method for Fast Measurement of Head-Related Transfer Functions
SP - 623 EP - 637
AU - Majdak, Piotr
AU - Balazs, Peter
AU - Laback, Bernhard
PY - 2007
JO - Journal of the Audio Engineering Society
IS - 7/8
VO - 55
VL - 55
Y1 - July 2007 TY - paper
TI - Multiple Exponential Sweep Method for Fast Measurement of Head-Related Transfer Functions
SP - 623 EP - 637
AU - Majdak, Piotr
AU - Balazs, Peter
AU - Laback, Bernhard
PY - 2007
JO - Journal of the Audio Engineering Society
IS - 7/8
VO - 55
VL - 55
Y1 - July 2007
AB - Presenting sounds in virtual environments requires filtering free-field signals with head-related transfer functions (HRTF). HRTFs describe the filtering effects of pinna, head, and torso measured in the ear canal of a subject. The measurement of HRTFs for many positions in space is a time-consuming procedure. To speed up the HRTF measurement, the multiple exponential sweep method (MESM) was developed. MESM speeds up the measurement by overlapping sweeps in an optimized way and retrieves the impulse responses of the measured systems. MESM and its parameter optimization are described. As an example of an application of MESM, the measurement duration of an HRTF set with 1550 positions is compared to the unoptimized method. Using MESM, the measurement duration could be reduced by a factor of four without a reduction of the signal-to-noise ratio.