The work concentrates on orthogonal wavelets and documents a generic method for designing discrete wavelets which encompasses the well-documented Haar and Daubechies. Only wavelets up to 6 taps are considered, these being derived from seed equations capable of explicit solution; higher degrees than this require iterative solution. Much of the work describes the derivation of the generic method, leading to equations which although comprising simple algebra do become complicated, especially for the 6 tap case, which "reduces" to a single quartic equation of great complexity. The seed equations are the usual ones of orthonormality and moment conditions with the highest moment condition replaced by a generic parameterized "lock" condition which...
Conference PaperThis paper develops a new class of wavelets for which the classical Daubechies zero ...
In this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transf...
Wavelet transforms provide a new technique for time-scale analysis of non-stationary signals. Wavele...
summary:Discrete wavelets are viewed as linear algebraic transforms given by banded orthogonal matri...
In this paper we consider an extension of the wavelet transform leading to the construction of wavel...
Wavelet analysis is a powerful method for analyzing the time histories of signals. A discrete wavele...
Treballs finals del Màster en Matemàtica Avançada, Facultat de matemàtiques, Universitat de Barcelon...
Discrete Wavelet Transform is a wavelet (DWT) transform that is widely used in numerical and functio...
ABSTRACT A discrete wavelet transform based on Daubechies coeYcients is used to decompose a signal i...
. Construction of higher multiplicity wavelets adapted to a particular task is discussed. The propos...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
Discrete wavelet transforms have many applications, including those in image compression and edge de...
Orthogonal wavelet bases have recently been developed using multiple mother wavelet functions. Apply...
We present a generalization of the Daubechies wavelet fam-ily. The context is that of a non-stationa...
We present a framework to design an orthogonal wavelet with compact support and vanishing moments, t...
Conference PaperThis paper develops a new class of wavelets for which the classical Daubechies zero ...
In this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transf...
Wavelet transforms provide a new technique for time-scale analysis of non-stationary signals. Wavele...
summary:Discrete wavelets are viewed as linear algebraic transforms given by banded orthogonal matri...
In this paper we consider an extension of the wavelet transform leading to the construction of wavel...
Wavelet analysis is a powerful method for analyzing the time histories of signals. A discrete wavele...
Treballs finals del Màster en Matemàtica Avançada, Facultat de matemàtiques, Universitat de Barcelon...
Discrete Wavelet Transform is a wavelet (DWT) transform that is widely used in numerical and functio...
ABSTRACT A discrete wavelet transform based on Daubechies coeYcients is used to decompose a signal i...
. Construction of higher multiplicity wavelets adapted to a particular task is discussed. The propos...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
Discrete wavelet transforms have many applications, including those in image compression and edge de...
Orthogonal wavelet bases have recently been developed using multiple mother wavelet functions. Apply...
We present a generalization of the Daubechies wavelet fam-ily. The context is that of a non-stationa...
We present a framework to design an orthogonal wavelet with compact support and vanishing moments, t...
Conference PaperThis paper develops a new class of wavelets for which the classical Daubechies zero ...
In this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transf...
Wavelet transforms provide a new technique for time-scale analysis of non-stationary signals. Wavele...