A description is given of an implementation of a system of measurement for acoustic impulse responses. The acoustic impulse response of a room is measurable with a dynamic range of 48 dB by cross correlation of the test signals. This proved to be better than by the identification by the algorithm of the stochastic gradient with decreasing step especially in noisy environments.
StanGuy-BartEmbrechtsJean-Jacques, and ArchambeauDominique, “Comparison of different impulse response measurement techniques”, Journal of the Audio Engineering Society50 (2002), no. 4, 249–262.
2.
Le PollèsThierry, “Modelling of the diffuse fields in architectural acoustics by the transport theory. Application to the urban environment”, LCPC Nantes, University of Maine, April 8, 2003.
3.
BenallalA., (1988) “Study of fast RLS algorithms and application to the identification of acoustic Impulses response”, Phd thesis, Rennes.
4.
DejanG. Iri, and MiloevicA. Miroslava, (2005) “Transient noise influence in MLS measurement of room impulse response”, Acta Acustica united with Acustica91, no. 1, 110–120.
5.
MüllerS., and MassaraniP., (2001) “Transfer-function measurement with sweeps”, Journal of The Audio Engineering Society49, no. 6, 443–471.
6.
RajihM. et ComonP., (2006) “Alternating Least Squares Identification of Under-Determined Mixtures Based on the Characteristic Function”, in ICASSP'06, Toulouse, France, May.
7.
ZgheibR.FleuryG., and LahalleE., (2006) “A new fast algorithm for simultaneous identification and optimal reconstruction of non stationary AR processes with missing observations”, 12th Digital Signal Processing Workshop, pp. 371–376, Grand Teton National Park (USA), September 24–27.
8.
LahalleE., and OksmanJ., (2005) “Real-time LMS identification of CAR models”, IEEE 5th International Conference on Information, Communication & Signal Processing, pp. 381–384, Bangkok (Thailand), December 6–9.
9.
MekarziaM., (2000) “Measure and identification of the acoustic Impulse responses”, Master thesis, University of Blida.