Results 1 to 10 of about 2,723,626 (209)
Empirical Wavelet Transform [PDF]
IEEE Transactions on Signal Processing, 2013 Some recent methods, like the Empirical Mode Decomposition (EMD), propose to decompose a signal accordingly to its contained information. Even though its adaptability seems useful for many applications, the main issue with this approach is its lack of theory. This paper presents a new approach to build adaptive wavelets. The main idea is to extract the
J. Gilles
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A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities
IEEE Access, 2022 As a general and rigid mathematical tool, wavelet theory has found many applications and is constantly developing. This article reviews the development history of wavelet theory, from the construction method to the discussion of wavelet properties.
Tiantian Guo +5 more
doaj +2 more sources
Medical image denoising using dual tree complex thresholding wavelet transform and Wiener filter
Journal of King Saud University: Computer and Information Sciences, 2015 Image denoising is the process to remove the noise from the image naturally corrupted by the noise. The wavelet method is one among various methods for recovering infinite dimensional objects like curves, densities, images, etc.
Hilal Naimi +2 more
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Multi-stage image denoising with the wavelet transform [PDF]
Pattern Recognition, 2022 Deep convolutional neural networks (CNNs) are used for image denoising via automatically mining accurate structure information. However, most of existing CNNs depend on enlarging depth of designed networks to obtain better denoising performance, which ...
Chunwei Tian +5 more
semanticscholar +1 more source
Novel Uncertainty Principles Concerning Linear Canonical Wavelet Transform
Mathematics, 2022 The linear canonical wavelet transform is a nontrivial generalization of the classical wavelet transform in the context of the linear canonical transform.
Mawardi Bahri +1 more
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Application of multi-dimensional wavelet transform to fluid mechanics
Theoretical and Applied Mechanics Letters, 2020 : This paper first reviews the application research works of wavelet transform on the fluid mechanics. Then the theories of continuous wavelet transform and multi-dimensional orthogonal (discrete) wavelet transform, including wavelet multiresolution ...
Akira Rinoshika, Hiroka Rinoshika
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Application of Wavelet Transform to Urysohn-Type Equations
Mathematics, 2023 This paper deals with convolution-type Urysohn equations of the first kind. Finding a solution for such equations is an ill-posed problem. For it to be solved, regularization algorithms and the continuous wavelet transform are used.
V. Lukianenko, M. Kozlova, V. Belozub
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JUTI: Jurnal Ilmiah Teknologi Informasi, 2020 Personal identification can be done by using face, fingerprint, palm prints, eye’s retina, or voice recognition which commonly called as biometric methods. Face recognition is the most popular and widely used among those biometric methods. However, there
Afrizal Laksita Akbar +2 more
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Sparse-View CT Reconstruction Based on a Hybrid Domain Model with Multi-Level Wavelet Transform
Sensors, 2022 The reconstruction of sparsely sampled projection data will generate obvious streaking artifacts, resulting in image quality degradation and affecting medical diagnosis results. Wavelet transform can effectively decompose directional components of image,
Jielin Bai, Yitong Liu, Hongwen Yang
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Wavelets: a powerful tool for studying rotation, activity, and pulsation in Kepler and CoRoT stellar light curves [PDF]
, 2014 Aims. The wavelet transform has been used as a powerful tool for treating several problems in astrophysics. In this work, we show that the time-frequency analysis of stellar light curves using the wavelet transform is a practical tool for identifying ...
Bravo, J. P. +4 more
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