%0 Journal Article
%T Applications of adaptive variable step-size algorithm in turbulence observation system
%A Wang, Yongfang
%A Yang, Chengdong
%A Qiu, Jianlong
%J Journal of Mathematics and Computer Science
%D 2016
%V 16
%N 2
%@ ISSN 2008-949X
%F Wang2016
%X In turbulence observation system, noise signal is random and difficult to identify, which will
pollute the real signal and affect the quality of the data. To eliminate the noise signal, the article
puts forward a kind of adaptive variable step-size de-noising algorithm. Firstly, raw data is changed
into corresponding physical parameters, and spectral analysis is used to analyze the relationship
among these parameters, and then, according to the correlation to construct the variable step-size
de-noising algorithm, and through error to adjust shape of the step size factor to control the optimal
weight coefficient. Finally, simulation and observation data is used to verify the effectiveness of the
algorithm, and Goodman's filter algorithm is compared with the algorithm. The results show that
the algorithm has higher precision and the noise is effectively reduced.
%9 journal article
%R 10.22436/jmcs.016.02.10
%U http://dx.doi.org/10.22436/jmcs.016.02.10
%P 218-226