A Practical Estimation Method of L_<eq> Noise Evaluation Index Based on Introduction of Akaike's Information Criterion from Roughly Observed Data

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概要

• 論文の詳細を見る

• The environmental noise which we encounter in our daily life exhibits various types of probability distribution forms, apart from a standard Gaussian distribution, due to the diversified causes of fluctuation. As is well-known, the noise evaluation index, L_<eq>, plays an important role in the field of noise evaluation and/or regulation problems. Moreover, the noise fluctuation is very often measured in a quantized level form at a discrete time interval. In this paper, a selection method with an optimum order of an expansion type L_<eq> estimation formula, which is generally applicable to arbitrary non-Gaussian level fluctuation, is first proposed by introducing Akaike's information criterion. Based on this L_<eq> estimation formula, a precise evaluation method of L_<eq> is proposed by using the roughly observed data with quantized levels. The effectiveness of the proposed method is experimentally confirmed by applying it to the actual road traffic noise data.

• 福山大学の論文

著者

• Mitani Yasuo

  福山大学工学部

• Tsutsumoto Kazuhiro

  福山大学

関連論文

• A Practical Estimation Method of L_ Noise Evaluation Index Based on Introduction of Akaike's Information Criterion from Roughly Observed Data
• A Practical Method for Estimating L_ by Considering Dynamic Range of Measurement Instruments

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