We consider the following pair of problems related to orthonormal compactly supported wavelet expansions: (1) Given a wavelet coefficient with its nominal scale and position indices, find the precise location of the transient signal feature which produced it; (2) Given two collections of wavelet coefficients, determine whether they arise from a periodic signal and its translate, and if so find the translation which maps one into the other. Both problems may be solved by traditional means after inverting the wavelet transform, but we propose two alternative algorithms which rely solely onthe wavelet coefficients themselves
A simple construction of an orthonormal basis starting with a so called mother wavelet, together wit...
ABSTRACT: In recent years, there has been an increasing interest with respect to using a set of orth...
Wavelet transform is a term from signal analysis. It is mostly used in physics, but also in finance,...
We consider the following pair of problems related to orthonormal compactly supported wavelet expans...
Orthonormal bases of wavelets and wavelet packets yield linear, non-redundant time-scale and time-fr...
Orthonormal wavelet bases provide an alternative technique for the analysis of non-stationary signal...
We present a selective overview of time-frequency analysis and some of its key problems. In particul...
Conference PaperConventional signal processing typically involves frequency selective techniques whi...
A new representation of the Fourier transform in terms of time and scale localization is discussed t...
In many applications such as parameter identification of oscillating systems in civil enginee-ring, ...
Orthonormal bases of wavelet packets constitute a powerful tool in signal compression. It has been p...
Caption title.Includes bibliographical references (p. 22-23).Supported by the ARO. DAAL03-92-G-0115 ...
Time-Frequency localization or concentration principles are fundamental concepts of signal processin...
International audienceWe describe several aspects of wavelet analysis and more general methods of ti...
Abstract—In this study, we present a new estimator of transients built from the extrema of a signal ...
A simple construction of an orthonormal basis starting with a so called mother wavelet, together wit...
ABSTRACT: In recent years, there has been an increasing interest with respect to using a set of orth...
Wavelet transform is a term from signal analysis. It is mostly used in physics, but also in finance,...
We consider the following pair of problems related to orthonormal compactly supported wavelet expans...
Orthonormal bases of wavelets and wavelet packets yield linear, non-redundant time-scale and time-fr...
Orthonormal wavelet bases provide an alternative technique for the analysis of non-stationary signal...
We present a selective overview of time-frequency analysis and some of its key problems. In particul...
Conference PaperConventional signal processing typically involves frequency selective techniques whi...
A new representation of the Fourier transform in terms of time and scale localization is discussed t...
In many applications such as parameter identification of oscillating systems in civil enginee-ring, ...
Orthonormal bases of wavelet packets constitute a powerful tool in signal compression. It has been p...
Caption title.Includes bibliographical references (p. 22-23).Supported by the ARO. DAAL03-92-G-0115 ...
Time-Frequency localization or concentration principles are fundamental concepts of signal processin...
International audienceWe describe several aspects of wavelet analysis and more general methods of ti...
Abstract—In this study, we present a new estimator of transients built from the extrema of a signal ...
A simple construction of an orthonormal basis starting with a so called mother wavelet, together wit...
ABSTRACT: In recent years, there has been an increasing interest with respect to using a set of orth...
Wavelet transform is a term from signal analysis. It is mostly used in physics, but also in finance,...