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A HIERARCHICAL USAGE OF THE EXTENDED REGRESSION ANALYSIS METHOD FOR PREDICTING THE OUTPUT RESPONSE PROBABILITY OF ARBITRARY STOCHASTIC ACOUSTIC SYSTEMS - INTRODUCTION OF REGRESSION PARAMETERS WITH THE INPUT DEPENDENCY

机译：用于预测任意随机声学系统输出响应概率的扩展回归分析方法的分层使用 - 输入依赖性的回归参数引入

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In general, it is necessary to establish a new theory taking account of the input dependency of system parameter when the stochastic input signal (different from the input test signal used in a case of the system identification) is newly excited. From this point of view, in this paper, based on the foundation of the previously reported extended regression analysis method with less information loss, a prediction method for the output response probability of arbitrary stochastic acoustic systems is proposed by considering the input dependency of system parameter based on the statistical property of stochastic input signal. Finally the effectiveness of the proposed method has been confirmed by applying it to an actual room acoustic system.

机译：通常，需要建立一个新的理论，考虑到系统参数的输入依赖性，当随机输入信号（与系统识别的情况下使用的输入测试信号不同）是新兴的。从这个角度来看，本文基于先前报道的延长回归分析方法的基础，通过考虑系统参数的输入依赖性，提出了一种用于任意随机声学系统的输出响应概率的预测方法基于随机输入信号的统计特性。最后通过将其应用于实际房间声学系统来确认所提出的方法的有效性。

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《International Congress on Sound and Vibration》|1996年||共8页
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Yasuo Mitani; Mitsuo Ohta;
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中图分类 TB53-53;
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1. A hierarchical usage of the extended regression analysis method for predicting the output response probability of arbitrary stochastic acoustic systems: introduction of regression parameters with input dependency [J] . Mitsuo Ohta, Yasuo Mitani Measurement . 1997,第20a221a4期

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2. A Probabilistic Evaluation Method of Output Response Based on the Extended Regression Analysis Method for Sound Insulation Systems with Roughly Observed Data [J] . Noboru NAKASAKO, Mitsuo OHTA, Yasuo MITANI IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences . 1997,第8期

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机译：用于预测任意随机声学系统输出响应概率的扩展回归分析方法的分层使用 - 输入依赖性的回归参数引入
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A HIERARCHICAL USAGE OF THE EXTENDED REGRESSION ANALYSIS METHOD FOR PREDICTING THE OUTPUT RESPONSE PROBABILITY OF ARBITRARY STOCHASTIC ACOUSTIC SYSTEMS - INTRODUCTION OF REGRESSION PARAMETERS WITH THE INPUT DEPENDENCY

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