2020
DOI: 10.1016/j.ifacol.2020.12.112
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Optimal Estimation of Gasoline LP-EGR via Unscented Kalman Filtering with Mixed Physics-based/Data-driven Components Modeling

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Cited by 2 publications
(2 citation statements)
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“…Noise can lead to degradation and blurring of the image quality and seriously affect the important characteristics of the image, which causes increased difficulty in the analysis and understanding of the image, especially in the image acquisition and input process. Therefore, the role of noise suppression is particularly prominent [21]. The specific steps are shown in Fig.…”
Section: B Establishment Of a Kalman Filter-based Signal Processingmentioning
confidence: 99%
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“…Noise can lead to degradation and blurring of the image quality and seriously affect the important characteristics of the image, which causes increased difficulty in the analysis and understanding of the image, especially in the image acquisition and input process. Therefore, the role of noise suppression is particularly prominent [21]. The specific steps are shown in Fig.…”
Section: B Establishment Of a Kalman Filter-based Signal Processingmentioning
confidence: 99%
“…In Equation (19), the eigenvalues of   20), ( , ) R x y is the image function of the image block m R ; n is the number of its pixels; ( , ) xy is the value of the pixels, expressed in coordinates, and ()  is the Kronecker function; R has the following relationship with the corresponding pixels of its image block I of the same size, as shown in Equation (21). 21), ( , ) R x y is the image function of the image block R and the image block I .…”
Section: Time Update (Forecast)mentioning
confidence: 99%