An infrared data cycle extraction method based on CEEMDAN

Long Wang; Zheng Liu

doi:10.1117/12.2587230

12 March 2021 An infrared data cycle extraction method based on CEEMDAN

Long Wang, Zheng Liu

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 117635A (2021) https://doi.org/10.1117/12.2587230
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

Aiming at the problem of noise and the difficulty of periodic extraction in infrared data acquisition. In this paper, a line method of infrared data period extraction based on CEEMDAN is proposed, which can eliminate the noise and interference of infrared data and accurately extract the period. The method preprocesses the original foreign teacher data by determining the signal mode, so as to improve the quality of infrared data; However, the data cycle was accurately extracted by using the method of correlation split mean cap. Finally, the validity and correctness of the extraction method are verified by simulation experiments.

Citation Download Citation

Long Wang and Zheng Liu "An infrared data cycle extraction method based on CEEMDAN", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 117635A (12 March 2021); https://doi.org/10.1117/12.2587230

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