A COMPUTATIONAL SOFTWARE FOR NOISE MEASUREMENT AND TOWARD ITS IDENTIFICATION
✍ Scribed by M. SAKURAI; H. SAKAI; Y. ANDO
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 228 KB
- Volume
- 241
- Category
- Article
- ISSN
- 0022-460X
No coin nor oath required. For personal study only.
✦ Synopsis
The computational system outlined here is based on a model of the human auditory} brain system including the autocorrelation and interaural crosscorrelation mechanisms, and the specialization of the cerebral hemispheres [1]. It consists of a binaural receiver, a laptop computer, and software designed to measure the physical factors of noise "elds and to identify environmental noise. The temporal factors C , , and as well as (0), are extracted from the autocorrelation function (ACF) of the noise source, and the spatial factors LL, IACC, '!! , and = '!! are extracted from the interaural crosscorrelation function (IACF). These factors may be utilized for subjective evaluations of a source of noise and a noise "eld.