In this paper we consider an extension of the wavelet transform leading to the construction of wavelets with arbitrary band-width. The new wavelets are complete, orthonormal and dyadic; nevertheless their bandwidth is not constrained to be one oc-tave, rather it may be designed by selecting a set of parameters. The construction of the new bases starts in the discrete-time domain, exploiting properties of the Laguerre transform. Fur-thermore, we provide a procedure to define continuous-time warped wavelets. Flexibility of the bandwidth allocation allows for more and improved applications of the wavelet transform, such as signal coding, the design of auditory model based filter-banks and transient detection in pseudoperiodic signals, pointed ...
Includes bibliographical references (leaf [81])Wavelet theory has been well developed over decades, ...
The wavelet transform is compared with the more classical short-time Fourier transform approach to s...
This paper proposes a new continuous wavelet family. Here we will take one function and those succes...
In this paper we show that the dyadic wavelet transform may be generalized to include non-octave spa...
Conference PaperThe notions of time, frequency, and scale are generalized using concepts from unitar...
In this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transf...
Orthonormal bases of wavelets and wavelet packets yield linear, non-redundant time-scale and time-fr...
Wavelet transforms provide a new technique for time-scale analysis of non-stationary signals. Wavele...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
The ability of the continuous wavelet transform (CWT) to provide good time and frequency localizatio...
AbstractWe discuss several constructions of orthonormal wavelet bases on the interval, and we introd...
A fast, continuous, wavelet transform, based on Shannon`s sampling theorem in frequency space, has b...
Abstract—The dyadic wavelet transform is an effective tool for processing piecewise smooth signals; ...
Orthonormal wavelet bases provide an alternative technique for the analysis of non-stationary signal...
The work concentrates on orthogonal wavelets and documents a generic method for designing discrete w...
Includes bibliographical references (leaf [81])Wavelet theory has been well developed over decades, ...
The wavelet transform is compared with the more classical short-time Fourier transform approach to s...
This paper proposes a new continuous wavelet family. Here we will take one function and those succes...
In this paper we show that the dyadic wavelet transform may be generalized to include non-octave spa...
Conference PaperThe notions of time, frequency, and scale are generalized using concepts from unitar...
In this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transf...
Orthonormal bases of wavelets and wavelet packets yield linear, non-redundant time-scale and time-fr...
Wavelet transforms provide a new technique for time-scale analysis of non-stationary signals. Wavele...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
The ability of the continuous wavelet transform (CWT) to provide good time and frequency localizatio...
AbstractWe discuss several constructions of orthonormal wavelet bases on the interval, and we introd...
A fast, continuous, wavelet transform, based on Shannon`s sampling theorem in frequency space, has b...
Abstract—The dyadic wavelet transform is an effective tool for processing piecewise smooth signals; ...
Orthonormal wavelet bases provide an alternative technique for the analysis of non-stationary signal...
The work concentrates on orthogonal wavelets and documents a generic method for designing discrete w...
Includes bibliographical references (leaf [81])Wavelet theory has been well developed over decades, ...
The wavelet transform is compared with the more classical short-time Fourier transform approach to s...
This paper proposes a new continuous wavelet family. Here we will take one function and those succes...