Results 91 to 100 of about 24,857 (199)
This study evaluated whether wavelet functions (Bior1.3, Bior2.4, Db4, Db8, Haar, Sym4, and Sym8) and decomposition levels (Levels 3–8) can estimate soil properties. The analysis is based on the discrete wavelet transform with partial least-squares
Guoqiang Wang +5 more
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Differential Privacy via Haar Wavelet Transform and Gaussian Mechanism for Range Query. [PDF]
Chen D, Li Y, Chen J, Bi H, Ding X.
europepmc +1 more source
HAAR WAVELET ANALYSIS OF CLIMATIC TIME SERIES
In order to extract the intrinsic information of climatic time series from background red noise, in this paper, we will first give an analytic formula on the distribution of Haar wavelet power spectra of red noise in a rigorous statistical framework. After that, by comparing the difference of wavelet power spectra of real climatic time series and red ...
Zhang, Zhihua +2 more
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The distinctive paper is devoted to multiscale modelling of functions with the use of Haar discrete wavelets. Numerical implementation is realized with the use of “Fortran” programming language (“Intel Visual Fortran” software).
Mojtaba Aslami , Pavel Akimov
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Signal processing methods based on the combined use of the continuous wavelet transform (CWT) and zero-crossing technique were applied to the simultaneous spectrophotometric determination of perindopril (PER) and indapamide (IND) in tablets. These signal
Gözde Pektaş +2 more
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Author Correction: Underwater image restoration with Haar wavelet transform and ensemble of triple correction algorithms using Bootstrap aggregation and random forests. [PDF]
Rowghanian V.
europepmc +1 more source
NeighShrink is an efficient image denoising algorithm based on the discrete wavelet transform (DWT). Its disadvantage is to use a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands.
ايمان محمد جعفر علوان
doaj
Efficient Numerical Algorithm for the Solution of Eight Order Boundary Value Problems by Haar Wavelet Method. [PDF]
Amin R +4 more
europepmc +1 more source
Image de-noising and restoration represent basic problems in image processing with many different applications including engineering, reconstruction of missing data during their transmission and enhancement ..etc.
Wesam Hujab Saood, Khamees Khalaf Hasan
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