Firstly proposed by Dennis Gabor in 1946 [1], the canonical coherent states of the Gabor filters are different versions of a Gaussian-shaped window shifted in time/space and frequency variables [2] [3], Gabor's work synthesizes the studies of Nyquist in Communication Theory in 1924 [4] and Heisenberg in Quantum Mechanics in 1927, by which he proposed the Gaussian shape as an optimal envelope for time-frequency representation turning the uncertainly principle from inequality into equality. Some important characteristics of Gabor wavelets are [5]:- Construction by a linear combination.- Energy preservation in transform domain (Parseval's theorem).- Non-orthogonality but an unconditional basis, a frame [6].- Symmetry of the Fourier d...
International audienceSignal analysis with classical Gabor frames leads to a fixed time–frequency re...
AbstractThis paper lays the foundation for a quantitative theory of Gabor expansionsf(x)=∑k,nck,ne2π...
Our modest goal in this paper is to define a generalization of the Fourier transform of L^1(R) and t...
Orthogonal and biorthogonal wavelets became very popular image processing tools but exhibit major dr...
AbstractThis paper lays the foundation for a quantitative theory of Gabor expansionsf(x)=∑k,nck,ne2π...
Responses of Gabor wavelets in the mid-frequency space build a local spectral representation scheme ...
ABSTRACT. Harmonic analysis has been the longest lasting and most powerful tool for dealing with sig...
Gabor and wavelet transforms play an important role in signal and harmonic analysis. They are effec...
Gabor and wavelet transforms play an important role in signal and harmonic analysis. They are effec...
Responses of Gabor wavelets in the mid-frequency space build a local spectral representation scheme ...
AbstractShape-invariant signals under Fourier transform are investigated leading to a class of eigen...
International audienceWe describe some aspects of time-frequency analysis, involving mainly two argu...
International audienceWe describe some aspects of time-frequency analysis, involving mainly two argu...
International audienceWe describe some aspects of time-frequency analysis, involving mainly two argu...
AbstractSignal analysis with classical Gabor frames leads to a fixed time–frequency resolution over ...
International audienceSignal analysis with classical Gabor frames leads to a fixed time–frequency re...
AbstractThis paper lays the foundation for a quantitative theory of Gabor expansionsf(x)=∑k,nck,ne2π...
Our modest goal in this paper is to define a generalization of the Fourier transform of L^1(R) and t...
Orthogonal and biorthogonal wavelets became very popular image processing tools but exhibit major dr...
AbstractThis paper lays the foundation for a quantitative theory of Gabor expansionsf(x)=∑k,nck,ne2π...
Responses of Gabor wavelets in the mid-frequency space build a local spectral representation scheme ...
ABSTRACT. Harmonic analysis has been the longest lasting and most powerful tool for dealing with sig...
Gabor and wavelet transforms play an important role in signal and harmonic analysis. They are effec...
Gabor and wavelet transforms play an important role in signal and harmonic analysis. They are effec...
Responses of Gabor wavelets in the mid-frequency space build a local spectral representation scheme ...
AbstractShape-invariant signals under Fourier transform are investigated leading to a class of eigen...
International audienceWe describe some aspects of time-frequency analysis, involving mainly two argu...
International audienceWe describe some aspects of time-frequency analysis, involving mainly two argu...
International audienceWe describe some aspects of time-frequency analysis, involving mainly two argu...
AbstractSignal analysis with classical Gabor frames leads to a fixed time–frequency resolution over ...
International audienceSignal analysis with classical Gabor frames leads to a fixed time–frequency re...
AbstractThis paper lays the foundation for a quantitative theory of Gabor expansionsf(x)=∑k,nck,ne2π...
Our modest goal in this paper is to define a generalization of the Fourier transform of L^1(R) and t...