Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sheng-Lun Yi"'
Publikováno v:
Sensors, Vol 17, Iss 7, p 1668 (2017)
Online denoising is motivated by real-time applications in the industrial process, where the data must be utilizable soon after it is collected. Since the noise in practical process is usually colored, it is quite a challenge for denoising techniques
Externí odkaz:
https://doaj.org/article/dea1c83f85bd4ece9f98366ec79d003d
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811072116
Dealing with noisy time series is an important task in many data-driven real-time applications. In order to improve the veracity of the measured time series data, an effective denoising method is of great significance. For some applications with onli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46ec89bf1c85396bec7ed0cec3d4b8e7
https://doi.org/10.1007/978-981-10-7212-3_8
https://doi.org/10.1007/978-981-10-7212-3_8
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811064982
Dealing with noisy time series is a significant task in many data-driven real-time applications. In order to improve the performance of time series data, an important pre-processing step is the online denoising of data before performing any action. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e57f4bc1faeedf463fddaf7b41b8efd3
https://doi.org/10.1007/978-981-10-6499-9_14
https://doi.org/10.1007/978-981-10-6499-9_14
Publikováno v:
2017 9th International Conference on Modelling, Identification and Control (ICMIC).
In practical process, it's necessary to obtain the real-time data without noise. The Kalman filter is a classical recursive method of the state estimation, thus, it can be used in the online denoising. In order to acquire the preferable denoising eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52d1f3dcb21f3f296d5b8b3a43e18a5e
https://doi.org/10.1109/icmic.2017.8321560
https://doi.org/10.1109/icmic.2017.8321560