Results 251 to 260 of about 2,718,558 (296)

Hardy’s theorem for the continuous wavelet transform

Journal of Pseudo-Differential Operators and Applications, 2019
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Radha, R., Sarvesh, K.
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Uncertainty inequalities for the continuous wavelet transform

IEEE Transactions on Information Theory, 1999
Summary: Uncertainty inequalities of Heisenberg-type are established for the continuous wavelet transform resting on classical Heisenberg and Heisenberg-von Neumann principles.
exaly   +4 more sources

The Inverse of the Continuous Wavelet Transform

2018
In this paper we summarize some recent results about the convergence of the inverse of the continuous wavelet transform.
openaire   +1 more source

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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Continuous Wavelet Transform

2010
Wavelet transform is a mathematical tool that converts a signal into a different form. This conversion has the goal to reveal the characteristics or “features” hidden within the original signal and represent the original signal more succinctly. A base wavelet is needed in order to realize the wavelet transform.
Robert X. Gao, Ruqiang Yan
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Optical implementation of the continuous wavelet transform

Applied Optics, 1998
A simple optical implementation for the one-dimensional wavelet transform (WT) is proposed. In contrast with previous WT optical implementations, the obtained WT is continuous along both axes (dilation and shift). An optical implementation to the inverse WT is proposed as well. Thus an optical continuous WT processor can be implemented.
G, Shabtay, D, Mendlovic, Z, Zalevsky
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Continuous Watson wavelet transform

Integral Transforms and Special Functions, 2012
We generalize the results of [2], and using the theory of Watson convolution, the continuous Watson wavelet transform is defined. Some properties related to the Watson wavelet transform are studied.
S. K. Upadhyay, Alok Tripathi
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Fast algorithms for the continuous wavelet transform

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
It is shown that filter banks arise naturally when implementing the continuous wavelet transform (CWT). The conditions under which the CWT can be computed exactly using discrete filter banks are determined, and fast CWT algorithms are derived. The complexity of the resulting algorithms increases linearly with the number of octaves.
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Continuous Wavelet Transforms

2010
The WFT localizes a signal simultaneously in time and frequency by "looking" at it through a window that is translated in time, then translated in frequency (i.e., modulated in time). These two operations give rise to the "notes" gω,t(u). The signal is then reconstructed as a superposition of such notes, with the WFT ƒ(tω,t) as the coefficient function.
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Wavelet transforms and downward continuation

1994
Applications of wavelet theory [5, 6] to the numerical solution of partial differential equations and integral operators is a rapidly developing topic of research [1]. For a large class of integral operators, with smooth slowly decaying kernels, the matrices approximating these operators which are dense in the natural basis become sparser for the same ...
Ronan Bras, George Mellman
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