Results 341 to 350 of about 2,495,027 (403)
Some of the next articles are maybe not open access.
Symplectic wavelet transformation
Optics Letters, 2006Usually a wavelet transform is based on dilated-translated wavelets. We propose a symplectic-transformed-translated wavelet family psi(*)(r,s)(z-kappa) (r,s are the symplectic transform parameters, |s|(2)-|r|(2)=1, kappa is a translation parameter) generated from the mother wavelet psi and the corresponding wavelet transformation W(psi)f(r,s;kappa ...
Hai-Liang Lu, Hong-Yi Fan
openaire +3 more sources
On Sampling Theorem, Wavelets and Wavelet Transforms
Proceedings. IEEE International Symposium on Information Theory, 1993The classical Shannon sampling theorem has resulted in many applications and generalizations. From a multiresolution point of view, it provides the sine scaling function. In this case, for a band-limited signal, its wavelet series transform (WST) coefficients below a certain resolution level can be exactly obtained from the samples with a sampling rate
Xiang-Gen Xia, Zhen Zhang
openaire +3 more sources
2015
In this chapter we will introduce the wavelet transform with the purpose of obtaining better representation of functions using atomic decompositions in the time-frequency domain.
Jonas Gomes, Luiz Velho
openaire +2 more sources
In this chapter we will introduce the wavelet transform with the purpose of obtaining better representation of functions using atomic decompositions in the time-frequency domain.
Jonas Gomes, Luiz Velho
openaire +2 more sources
2002
We mentioned in the introduction to Part D the shortcomings of the windowed Fourier transform. This chapter gives another approach to the time-frequency issue of Fourier analysis. The role played in the windowed Fourier transform by the family of functions $${\omega _{v,b}}(t) = \omega (t - b){e^{ + 2i\pi vt}},\quad b,v \in \mathbb{R}$$ is ...
Pierre Brémaud, Pierre Brémaud
openaire +2 more sources
We mentioned in the introduction to Part D the shortcomings of the windowed Fourier transform. This chapter gives another approach to the time-frequency issue of Fourier analysis. The role played in the windowed Fourier transform by the family of functions $${\omega _{v,b}}(t) = \omega (t - b){e^{ + 2i\pi vt}},\quad b,v \in \mathbb{R}$$ is ...
Pierre Brémaud, Pierre Brémaud
openaire +2 more sources
Phase Retrieval for the Cauchy Wavelet Transform
arXiv.org, 2014We consider the phase retrieval problem in which one tries to reconstruct a function from the modulus of its wavelet transform. We study the uniqueness and stability of the reconstruction. In the case where the wavelets are Cauchy wavelets, we prove that
S. Mallat, Irène Waldspurger
semanticscholar +1 more source
2011
The concept of a transform was introduced in Section 24.1 and the rest of Chapter 24 discusses orthogonal transforms. The transforms dealt with in this chapter are different and are referred to as subband transforms, because they partition an image into various bands or regions that contain different features of the image.
openaire +2 more sources
The concept of a transform was introduced in Section 24.1 and the rest of Chapter 24 discusses orthogonal transforms. The transforms dealt with in this chapter are different and are referred to as subband transforms, because they partition an image into various bands or regions that contain different features of the image.
openaire +2 more sources
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing, 1993A multiresolution approach based on a modified wavelet transform called the tree-structured wavelet transform or wavelet packets is proposed. The development of this transform is motivated by the observation that a large class of natural textures can be ...
Tianhorng Chang, C.-C. Jay Kuo
semanticscholar +1 more source
Vigorous image steganography with transforms, wavelet transforms and hybrid wavelet transforms
2014 Annual IEEE India Conference (INDICON), 2014In this paper, performance of orthogonal transforms with their wavelet transforms and Hybrid wavelet transforms are compared for image steganography. Here, wavelet transforms and Hybrid wavelet transforms are proposed to be used for Image steganography. A set of 10 Cover images for hiding 10 varied message images has been used for research.
Smita S. Chavan, Sudeep D. Thepade
openaire +2 more sources
Overcomplete Wavelet Transforms
1998This chapter deals with discrete wavelet transforms that are formed from the general samples of a continuous wavelet transform. Conceptually, there are few constraints on the spacing between sample points throughout the time—scale plane; however, computational consideration is restricted here to an interesting subclass of sampling sets that allow for ...
Anthony Teolis, Anthony Teolis
openaire +2 more sources
Wavelet Transforms and Wavelet Approximations
1994We summarize properties of classical wavelet transforms and Wavelet Stieltjes transforms. Wavelet approximation problems are also considered for Wavelet Stieltjes transforms. This will give rise to some characterizations of general signals.
openaire +2 more sources