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Wavelet analysis for diagnostic problems
Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96), 2002In this paper the problem of off-line diagnosis of analog circuits affected by catastrophic multiple faults is considered. Information on the circuit behavior is given by the voltage measurements in a set of available test points. Because of the huge amount of data involved in each voltage acquisition, it is necessary to apply a compression technique ...
CONTU S. +4 more
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Wavelets and time-frequency analysis
Proceedings of the IEEE, 1996We present a selective overview of time-frequency analysis and some of its key problems. In particular we motivate the introduction of wavelet and wavelet packet analysis. Different types of decompositions of an idealized time-frequency plane provide the basis for understanding the performance of the numerical algorithms and their corresponding ...
Nikolaj Hess-Nielsen +1 more
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Wavelet analysis in soliton detection
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002The structure of arbitrary wavelet bases derived from the generalized B-spline wavelets is introduced. An arbitrary wavelet basis is constructed and then used to detect the presence of dynamic solitons in the sea surface height as measured by satellite altimetry. Comparisons are made for wavelet decompositions based on several scaling functions.
Mark Allan Coffey, Delores M. Etter
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On the wavelet formalism for multifractal analysis
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2001It is proved that the multifractal characterizations of diametrically regular measures that are provided by the wavelet and by the Hentschel–Procaccia formalisms are identical.
Murguía, J. S., Urías, Jesús
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1993
The objective of this paper is to introduce and classify various classes of wavelets and to discuss some of their basic properties. In particular, an identity of Littlewood-Paley type is given and is used to partially characterize wavelets and their duals.
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The objective of this paper is to introduce and classify various classes of wavelets and to discuss some of their basic properties. In particular, an identity of Littlewood-Paley type is given and is used to partially characterize wavelets and their duals.
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Wavelet analysis for progressive meshes
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007We present a wavelet construction for irregular triangle meshes based on edge-collapse and vertex-split operations. We develop finite analysis filters separating detail coefficients from the geometry representation, based on local least-squares fitting of the control mesh.
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Symmetry-adapted wavelet analysis
Proceedings of 3rd IEEE International Conference on Image Processing, 2002Wavelet analysis comes in two versions: the continuous one, used mostly for signal or image analysis, and the discrete one, originating from multiresolution analysis and particularly efficient in reconstruction and data compression. We review the construction of continuous wavelet transforms adapted to a given symmetry.
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The Wavelet Transform in Clifford Analysis
Computational Methods and Function Theory, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A wavelet magnitude analysis theorem
IEEE Transactions on Signal Processing, 1993Summary: The wavelet transform is a special case of the generalized short-time Fourier transform (GSTFT), which predates wavelet analysis by many years. The theorem presented here is one example of how GSTFT research can be beneficially applied to wavelet analysis.
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