Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shuwen Dang"'
Autor:
Chang Liu, Shuwen Dang
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811966125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c09b6d3e3d6a751bfb2adad22ffd1172
https://doi.org/10.1007/978-981-19-6613-2_413
https://doi.org/10.1007/978-981-19-6613-2_413
Publikováno v:
2021 the 7th International Conference on Communication and Information Processing (ICCIP).
Autor:
Shuwen Dang, Danhao Zhao
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Publikováno v:
CIS
The output of fiber optic gyroscope (FOG) involves Gaussian white noise and fractional noise which is difficult to be eliminated by traditional methods because of the non-stationary characteristics. Wavelet neural network (WNN) is a novel nonlinear a
Autor:
Hongwei Han, Shuwen Dang
Publikováno v:
CIS
The workspace and attitude error is both in-avoidable considered when the flight simulator's motion platform performance is discussed. The GA-BP(Genetic Algorithms-Back Propagation) algorithm is originally applied for attitude error compensating indu
Publikováno v:
Measurement. 44:2190-2193
Stochastic noise in a fiber optic gyro (FOG) is mainly caused by white noise and 1/ f γ fractal noise. The latter noise is characterized by long-term correlation, self-similarity and spectral density with 1/ f γ power law. The application of the em
Publikováno v:
Wuhan University Journal of Natural Sciences. 14:494-498
An effective de-noising method for fiber optic gyroscopes (FOGs) is proposed. This method is based on second-generation Daubechies D4 (DB4) wavelet transform (WT) and level-dependent threshold estimator called Stein’s unbiased risk estimator (SURE)