2001
DOI: 10.1006/jsvi.2000.3277
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Measurement of Regional Environmental Noise by Use of a Pc-Based System. An Application to the Noise Near Airport “G. Marconi” in Bologna

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Cited by 31 publications
(10 citation statements)
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References 11 publications
(6 reference statements)
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“…In the results for aircraft noise around an airport [6], the IACC was always near unity during the measurements, while in our results it was always less than 0)5. Another big di!erence was in '!!…”
Section: Discussioncontrasting
confidence: 44%
See 1 more Smart Citation
“…In the results for aircraft noise around an airport [6], the IACC was always near unity during the measurements, while in our results it was always less than 0)5. Another big di!erence was in '!!…”
Section: Discussioncontrasting
confidence: 44%
“…This system has previously been used to characterize aircraft noise [6,7]. The noise of an aircraft in #ight was well characterized.…”
Section: Introductionmentioning
confidence: 99%
“…Primary sensations}loudness, pitch, timbre and temporal duration-and spatial sensations}sub-jective diffuseness, image shift of sound source and apparent source width (ASW)}can be described by the temporal and spatial factors extracted from the autocorrelation function (ACF) and the interaural crosscorrelation function (IACF) respectively. It has been shown that environmental noise can be characterized by these factors [3][4][5]. Fundamental subjective attributes for the sound field in a concert hall are accurately described by the model of auditory-brain system when taking into account the contributions of the ACF and IACF mechanisms.…”
Section: Introductionmentioning
confidence: 99%
“…are not used for the identi"cation in this paper, spatial information on the noise source including its degree of di!useness and its direction from the receiver can be described by these spatial factors. Experimental results which include spatial factors from the IACF are demonstrated in references [11,12] in this special issue. Figure A1, s G is the arithmetic mean of the standard deviations (SD) for all categories of the ACF factor.…”
Section: Remarksmentioning
confidence: 97%