Neurally Based Measurement and Evaluation of Environmental Noise

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Federico Miyara.


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Neurally Based Measurement and Evaluation of Environmental Noise | wordreaforchild.tk

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[PDF] Neurally Based Measurement and Evaluation of Environmental Noise (Mathematics for Industry)

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For IEEE to continue sending you helpful information on our products and services, please consent to our updated Privacy Policy. Email Address. Sign In. Access provided by: anon Sign Out. It seems that you're in Germany. We have a dedicated site for Germany. Authors: Soeta , Yoshiharu, Ando , Yoichi. This book deals with methods of measurement and evaluation of environmental noise based on an auditory neural and brain-oriented model.

The model consists of the autocorrelation function ACF and the interaural cross-correlation function IACF mechanisms for signals arriving at the two ear entrances. Even when the sound pressure level of a noise is only about 35 dBA, people may feel annoyed due to the aspects of sound quality. Several examples of measuring environmental noise—from outdoor noise such as that of aircraft, traffic, and trains, and indoor noise such as caused by floor impact, toilets, and air-conditioning—are demonstrated. According to the noise measurement and evaluation, applications for sound design are discussed.