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Low frequency characteristic parameters measurement of vented-box loudspeaker system using total least squares method 被引量:1
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作者 Xu Boling Wei Yong(Institute of Acoustics, State Key Laboth ratory of Modern Acoustics, Nanjing University, Naning 210093) (Nanjing University of Posts and Telecommunications) 《Chinese Journal of Acoustics》 1996年第1期65-72,共8页
The interrelationship between the ARMA model parameters of a vented-box loud-speaker system and lowthequency characteristic parameters is analysed in this paper. These AANA model parameters are deterndned by the total... The interrelationship between the ARMA model parameters of a vented-box loud-speaker system and lowthequency characteristic parameters is analysed in this paper. These AANA model parameters are deterndned by the total least squares (TLS) method. Therefore, we can measure in the timedomain the fow frequency characteristic parameters of a vented-box loudspeaker system, its impendance curvs and low-frquency response curves. These measured results show a satisfactory agreement with the values obtained by the frequency-domain measurement. 展开更多
关键词 ARMA model total least squares method Low frequency parameter Timedomain Measurement
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Error model identification of inertial navigation platform based on errors-in-variables model 被引量:6
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作者 Liu Ming Liu Yu Su Baoku 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第2期388-393,共6页
Because the real input acceleration cannot be obtained during the error model identification of inertial navigation platform, both the input and output data contain noises. In this case, the conventional regression mo... Because the real input acceleration cannot be obtained during the error model identification of inertial navigation platform, both the input and output data contain noises. In this case, the conventional regression model and the least squares (LS) method will result in bias. Based on the models of inertial navigation platform error and observation error, the errors-in-variables (EV) model and the total least squares (TLS) method axe proposed to identify the error model of the inertial navigation platform. The estimation precision is improved and the result is better than the conventional regression model based LS method. The simulation results illustrate the effectiveness of the proposed method. 展开更多
关键词 errors-in-variables model total least squares method inertial navigation platform error model identification
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