Results 311 to 320 of about 2,499,187 (379)

Wavelet transform for Fresnel-transformed mother wavelets

Chinese Physics B, 2011
In this paper, we propose the so-called continuous Fresnel-wavelet combinatorial transform which means that the mother wavelet undergoes the Fresnel transformation. This motivation can let the mother-wavelet-state itself vary from |〉 to F†r,s|〉, except for variation within the family of dilations and translations. The Parseval's equality, admissibility
Shu-Guang Liu, Jun-Hua Chen, Hong-Yi Fan
openaire   +1 more source

EXTENDED WAVELET TRANSFORMS

International Journal of Geometric Methods in Modern Physics, 2006
We introduce the notion of extended wavelet transform for locally compact topological groups that are semidirect products with abelian normal factor, and we study its main properties. In particular, we show that this notion allows to define a weak wavelet transform — enjoying 'essentially' the same properties as a standard wavelet transform ...
openaire   +3 more sources

Multisensor Image Fusion Using the Wavelet Transform

CVGIP: Graphical Models and Image Processing, 1995
The goal of image fusion is to integrate complementary information from multisensor data such that the new images are more suitable for the purpose of human visual perception and computer-processing tasks such as segmentation, feature extraction, and ...
Hui Li, B. S. Manjunath, S. Mitra
semanticscholar   +1 more source

Wavelets and Wavelet Transform

2017
Wavelet transforms are the most powerful and the most widely used tool in the field of image processing. Wavelet transform has received considerable attention in the field of image processing due to its flexibility in representing non-stationary image signals and its ability in adapting to human visual characteristics. Wavelet transform is an efficient
Aparna Vyas, Soohwan Yu, Joonki Paik
openaire   +1 more source

Discrete Wavelets and Fast Wavelet Transform

1991
The wavelet analysis, introduced by J. MORLET and Y. MEYER in the middle of the eighties, is a processus of time-frequency (or time-scale) analysis which consists of decomposing a signal into a basis of functions (o jk ) called wavelets. These wavelets are in turn deduced from the analyzing wavelet o by dilatations and translations. More precisely:
Bonnet, Pierre, Rémond, Didier
openaire   +2 more sources

Overcomplete Wavelet Transforms

1998
This 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 ...
openaire   +1 more source

Wavelets, Wavelet Filters, and Wavelet Transforms

2013
Spectral characteristics of speech are known to be particularly useful in describing a speech signal such that it can be efficiently reconstructed after coding or identified for recognition. The wavelets are considered one of such efficient methods for representing the spectrum of speech signals.
openaire   +1 more source

Wavelets and Wavelet Transform Systems and Their Applications

, 2022
C. Akujuobi
semanticscholar   +1 more source

The wavelet transform, time-frequency localization and signal analysis

IEEE Transactions on Information Theory, 1990
I. Daubechies
semanticscholar   +1 more source

Image coding using wavelet transform

IEEE Transactions on Image Processing, 1992
M. Antonini, M. Barlaud, P. Mathieu, I. Daubechies   +3 more
semanticscholar   +1 more source