Results 11 to 20 of about 2,499,187 (379)
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 ...
J. Gilles
semanticscholar +4 more sources
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
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Research on Image Denoising in Edge Detection Based on Wavelet Transform
Applied Sciences, 2023 Photographing images is used as a common detection tool during the process of bridge maintenance. The edges in an image can provide a lot of valuable information, but the detection and extraction of edge details are often affected by the image noise ...
Ning You +3 more
semanticscholar +1 more source
A Survey on Denoising Techniques of Electroencephalogram Signals Using Wavelet Transform
Signals, 2022 Electroencephalogram (EEG) artifacts such as eyeblink, eye movement, and muscle movements widely contaminate the EEG signals. Those unwanted artifacts corrupt the information contained in the EEG signals and degrade the performance of qualitative ...
Maximilian Grobbelaar +6 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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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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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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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
core +1 more source