Kuttruff, H.; Room Acoustics; Routledge mot E F & N Spon; 2000
 EN ISO 3382 Acústica. Medición del tiempo de reverberación de recintos con referencia a otros parámetros acústicos
 Farina A.; Simultaneous measurement of impulse response and distortion with a sweptsine technique, 110th AES Convention, Paris 18- 22 February 2000.
 Bjor O.H.; New Measurement Methods in Building Acoustics; Norsonic, Lierskogen
 ISO 18233: Acoustics. Application of new measurement methods in building acoustics
 Müller S.; Transfer-Function Measurement with Sweeps; JAES Vol. 49; 2001
 Morset, L.; A practical comparison of the ”new” swept-sine technique and MLS in measuring room impulse responses and acoustical parameters
This is an interesting paper about sweeps
SWEN MÜLLER, PAULO MASSARANI, Transfer-Function Measurement with Sweeps, DIRECTOR’S CUT INCLUDING PREVIOUSLY UNRELEASED MATERIAL
jaime undurragaOn Fri, Mar 6, 2009 at 11:49 AM, Jose Almagro <luegotelodigo@xxxxxxxxx> wrote:I agree that the main problem is SNR/INR, anyway there's a comparison between short sweeps average and long sweeps I think it's written by Farina but I'm not sure, maybe by Müller.Best regards2009/3/6 Piotr Majdak <piotr@xxxxxxxxxx>Dear James,
If you have noise in the system (=room) then the sweep duration primarly depends on the signal-to-noise ratio (SNR) you want to achieve. This is because usually, the maximum amplitude of the loudspeaker is limited. Further, for exponential sweeps, the SNR may depend on frequency, f.e., it's pink if noise is white.
For example, we use sweeps with at least 1.5-s duration for measurements in a sound chamber (18 dB noise) to achieve an SNR of 60 dB. For such long sweeps, the frequency smearing is negligible.
However, I do not have a theoretical result...
br, Piotr Majdak
James W. Beauchamp wrote:
This is a not strictly an auditory question, but it could be
useful for people doing acoustic measurements. If you use a
swept sine wave to measure the frequency response of a linear
system, what is the limitation on the speed of the sweep in
terms of how accurate the result would be? I imagine it has
something to do with how smooth the actual frequency response is. If it has some pronounced bumps, they could be smoothed
out if the sweep is too fast.
In practice, you could sweep at some arbitrary rate, and then
slow it by a factor of two, and if the result is the same
(within an acceptable tolerance) you could say that you've
converged on the solution.
But I'd like to have a theoretical result.
Univ. of Illinois at Urbana-Champaign
Jaime Undurraga, Eng
ExpORL, Dept. Neurosciences
Katholieke Universiteit Leuven
Herestraat 49, bus 721
3000 Leuven, Belgium
Tel: +32 16 330485
Fax: +32 16 330486