Temat: falka - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A new approach to numerical integration based on Coifman wavelets
Autorzy:: Dehda, Bachir
Powiązania:: https://bibliotekanauki.pl/articles/122994.pdf
Data publikacji:: 2019
Wydawca:: Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:: numerical integration
CAS wavelets
Haar wavelets
hybrid functions
Coiflets
integracja numeryczna
falka Haara
falka CAS
falka Coiflet
funkcja hybrydowa
Opis:: In this paper, we present a new approach based on Coifman wavelets to find approximate values of definite integrals. This approach overcomes both CAS and Haar wavelets and hybrid functions in terms of absolute errors. The algorithm based on Coifman wavelets can be easily extended to find numerical approximations for double and triple integrals. Illustrative examples implemented using Matlab show the efficiency and effectiveness of this new method.
Źródło:: Journal of Applied Mathematics and Computational Mechanics; 2019, 18, 3; 31-44
2299-9965
Pojawia się w:: Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Image denoising using new wavelet thresholding function
Autorzy:: Dehda, B.
Melkemi, K.
Powiązania:: https://bibliotekanauki.pl/articles/122959.pdf
Data publikacji:: 2017
Wydawca:: Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:: wavelet transform
image denoising
wavelet thresholding
wavelet shrinkage rules
peak signal to noise ratio
PSNR
transformata falkowa
falka
odszumianie obrazu
Opis:: In this paper, we propose a new image denoising method based on wavelet thresholding. In this method, we introduce a new nonlinear thresholding function characterized by a shape parameter and basic properties. These characteristics make the new method able to achieve a compromise between both traditional thresholding techniques such as Hard and Soft thresholding. The experimental results show that our proposed method provides better performance compared to many classical thresholding methods in terms of the visual quality of the denoised image.
Źródło:: Journal of Applied Mathematics and Computational Mechanics; 2017, 16, 2; 55-65
2299-9965
Pojawia się w:: Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:: Biblioteka Nauki

Artykuł

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