Titlebook: Neurally Based Measurement and Evaluation of Environmental Noise; Yoshiharu Soeta,Yoichi Ando Book 2015 Springer Japan 2015 Autocorrelatio

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ur application to prospective customers and partners.DevelopKnow how to design and use identity management to protect your application and the data it manages..At a time when security breaches result in increasingly onerous penalties, it is paramount that application developers and owners understand

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Signal Processing Model of Human Auditory System,are described. First, the ear sensitivity of the human ear from a sound source to the auditory system consisting of the external canal, eardrum, bone chain with oval window, auditory nerve, cochlear nucleus, thalamus, brain stem, and cortex, and signal processing model for evaluation of environmenta

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Noise Measurement Method Based on the Model,nt is described. First, the correlation between two variables, correlation function as a function of time, such as autocorrelation function (ACF) and cross-correlation function (CCF), and factors extracted from the ACF and CCF are described. ACF and CCF are related monaural and binaural criteria, re

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Temporal Primary Sensations of Noise,tions) and those related to a sound’s perceived location in space (spatial sensations). Temporal sensations include pitch, loudness, timbre, and duration. They can be described in terms of temporal factors extracted from the autocorrelation function (ACF). The ACF has the same information as the pow

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Noise Measurements,l noises have been evaluated according to sound pressure level (SPL) and frequency characteristics (e.g., Namba and Kuwano in J Acoust Soc Jpn 5:135–148, .; Kuwano et al. in Noise Control Eng J 33:107–115, .; Ayr et al. in Appl Acoust 64:129–145, .). Noise criterion (NC) curves, preferred noise crit

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