Results 271 to 280 of about 17,778 (310)
Some of the next articles are maybe not open access.
1998
Wavelets have generated a tremendous interest in both theoretical and applied mathematics over the past few years, and the fast wavelet transform (FWT) in particular has proven to be effective tool for e.g. numerical analysis and image processing.
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Wavelets have generated a tremendous interest in both theoretical and applied mathematics over the past few years, and the fast wavelet transform (FWT) in particular has proven to be effective tool for e.g. numerical analysis and image processing.
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CONVOLUTION FOR THE DISCRETE WAVELET TRANSFORM
International Journal of Wavelets, Multiresolution and Information Processing, 2011Translation and convolution associated with the discrete wavelet transform are investigated using properties of Calderón–Zygmund operator and Riesz fractional integral operator. Dual convolution is also studied. The wavelet convolution is applied to approximate functions belonging to certain Lp-spaces.
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Overcomplete Wavelet Transforms
1998This chapter deals with discrete wavelet transforms that are formed from the general samples of a continuous wavelet transform. Conceptually, there are few constraints on the spacing between sample points throughout the time—scale plane; however, computational consideration is restricted here to an interesting subclass of sampling sets that allow for ...
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Wavelet Transforms and Wavelet Approximations
1994We summarize properties of classical wavelet transforms and Wavelet Stieltjes transforms. Wavelet approximation problems are also considered for Wavelet Stieltjes transforms. This will give rise to some characterizations of general signals.
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The High-Resolution Wavelet Transform: A Generalization of the Discrete Wavelet Transforms.
Proposed for presentation at the IEEE Ubiquitous Computing, Electronics, & Mobile Communication Conference (UEMCON) in ,, 2022Miguel Jiménez-Aparicio +2 more
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Multilevel 2-D Quantum Wavelet Transforms
IEEE Transactions on Cybernetics, 2022Haisheng Li, Ping Fan, Shuxiang Song
exaly
2002
We mentioned in the introduction to Part D the shortcomings of the windowed Fourier transform. This chapter gives another approach to the time-frequency issue of Fourier analysis. The role played in the windowed Fourier transform by the family of functions $${\omega _{v,b}}(t) = \omega (t - b){e^{ + 2i\pi vt}},\quad b,v \in \mathbb{R}$$ is ...
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We mentioned in the introduction to Part D the shortcomings of the windowed Fourier transform. This chapter gives another approach to the time-frequency issue of Fourier analysis. The role played in the windowed Fourier transform by the family of functions $${\omega _{v,b}}(t) = \omega (t - b){e^{ + 2i\pi vt}},\quad b,v \in \mathbb{R}$$ is ...
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Wavelets and Continuous Wavelet Transform [PDF]
, 2016 The concepts of wavelet theory were provided by Meyer, Mallat, Daubechies and many others.Wavelets are well localized, oscillatory functions which provide a basis of and can be modified to a basis of , where is a bounded domain. Wavelet transform or wavelet analysis is a recently developed mathematical tool for signal analysis.
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Wavelet-Based Spectral–Spatial Transforms for CFA-Sampled Raw Camera Image Compression
IEEE Transactions on Image Processing, 2020Taizo Suzuki
exaly