De-noising stochastic noise in FOG based on second-generation DB4 wavelet and SURE-threshold

Autor: Zhihua Jin, Shuwen Dang, Weifeng Tian

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)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4720d71b409a81bd4487d30dc94e5c1c
https://doi.org/10.1007/s11859-009-0607-9

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Signal conditioning for the recursive least-squares filter in ultrasonic testing of materials

Autor: Kim Ki-Seong, M. S. Mohammed

Publikováno v: Siddig, M & Ki-Seong, K 2017, ' Signal conditioning for the recursive least-squares filter in ultrasonic testing of materials ', Insight: Non-Destructive Testing and Condition Monitoring, vol. 59, no. 11, pp. 591-595 . https://doi.org/10.1784/insi.2017.59.11.591

This work aims to enhance the filtering performance of the recursive least-squares adaptive algorithm in the ultrasonic testing of materials by processing the primary input of the filter to improve the correlation properties of the signal and noise a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9d9bd2fe1438f99cff004aa3bb3db58
https://doi.org/10.1784/insi.2017.59.11.591

Bayesian estimation for mean vector of multivariate normal distribution on the linear and nonlinear exponential balanced loss based on wavelet decomposition.

Autor: Batvandi, Ziba, afshari, Mahmoud, Karamikabir, Hamid

Publikováno v: International Journal of Wavelets, Multiresolution & Information Processing; Nov2024, Vol. 22 Issue 6, p1-21, 21p