首页> 外文会议>International Congress on Sound and Vibration >STOCHASTIC EVALUATION METHOD BASED ON NON-LINEAR TIME SERIES REGRESSION MODEL BETWEEN SOUND PRESSURE LEVEL AND LOUDNESS WITH AN EXPERIMENT
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STOCHASTIC EVALUATION METHOD BASED ON NON-LINEAR TIME SERIES REGRESSION MODEL BETWEEN SOUND PRESSURE LEVEL AND LOUDNESS WITH AN EXPERIMENT

机译:基于非线性时间序列回归模型的随机评估方法,具有实验声压水平与响度的响度

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The determination of the quantitative relationship between the sound pressure level and loudness for environmental noises is important from the viewpoint of noise assessment. In this study, a method for predicting the probability evaluation quantities of the noise environment is proposed by introducing nonlinear time series regression model between the sound pressure level and loudness. More specifically, based on the joint probability distribution in an orthonormal expansion series which linear and nonlinear correlation information is reflected hierarchically in each expansion coefficient, probabilistic methods for predicting the sound pressure level and the loudness are proposed. The validity of the proposed method is confirmed by applying it to the actual time series data in a sound environment.
机译:从噪声评估的观点来看,在环境噪声的声压水平和响度之间的定量关系的确定是重要的。在该研究中,通过在声压级和响度之间引入非线性时间序列回归模型来提出用于预测噪声环境的概率评估量的方法。更具体地,基于正常膨胀系列中的联合概率分布,该线性和非线性相关信息在每个膨胀系数中分层地反射,提出了用于预测声压水平和响度的概率方法。通过将其应用于声音环境中的实际时间序列数据来确认所提出的方法的有效性。

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