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Presenting sounds in virtual environments requires filtering free-field signals with headrelated 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.