Results 211 to 220 of about 13,536 (264)

Wavelets-Based Texture Analysis of Post Neoadjuvant Chemoradiotherapy Magnetic Resonance Imaging as a Tool for Recognition of Pathological Complete Response in Rectal Cancer, a Retrospective Study. [PDF]

J Clin Med
Begal J, Sabo E, Goldberg N, Bitterman A, Khoury W.   +4 more
europepmc   +1 more source

Changes in visuocortical engagement and oscillatory brain activity during associative learning. [PDF]

Sci Rep
Gardy SM, Panitz C, Engle H, Gilbert F, Keil A.   +4 more
europepmc   +1 more source

Multidimensional Quantification of Macular Cone Activity in Pattern Electroretinography Using Discrete Wavelet Transform. [PDF]

Transl Vis Sci Technol
Shwetar YJ, Haendel MA.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Wavelets and Multigrid

SIAM Journal on Scientific Computing, 1993
Some similarities between multiresolution (wavelet) analysis [see \textit{B. Glowinski}, \textit{W. Lawton}, \textit{M. Ravachol} and \textit{E. Tedenbaum}. Wavelet solution of linear and nonlinear elliptic, parabolic and hyperbolic problems in one space dimension, in computing methods in applied sciences and enginneering, Society for Industrial and ...
Briggs, William L., Henson, Van Emden
openaire   +2 more sources

On Sampling Theorem, Wavelets and Wavelet Transforms

Proceedings. IEEE International Symposium on Information Theory, 1993
Summary: The classical Shannon sampling theorem has resulted in many applications and generalizations. From a multiresolution point of view, it provides the sinc 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 ...
Xiang-Gen Xia 0001, Zhen Zhang 0010
openaire   +1 more source

Wavelet shrinkage with correlated wavelet coefficients

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
This paper investigates the statistical characterization of multiscale wavelet coefficients corresponding to random signals and images. Virtually all approaches to wavelet shrinkage model the wavelet coefficients as independent; we challenge that assumption and demonstrate several cases where substantial correlations may be present in the wavelet ...
Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan   +2 more
openaire   +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

Wavelet and wavelet Stieltjes transforms

Proceedings of 32nd IEEE Conference on Decision and Control, 2002
Some fundamental and useful properties of wavelet transforms are presented. A unified approach for both discrete and continuous time-frequency localization is introduced. >
T. Bielecki, J. Chen, S. Yau, E.B. Lin
openaire   +1 more source

The Generalized Wavelets Based on Meyer Wavelet

2009
Starting with investigating the Meyer scaling function, the original Meyer bases are extended to the generalized Meyer wavelet by introducing a time-shift factor into Meyer scaling coefficient functions in this paper. These new wavelets not only inherit many basic properties of the classical Meyer wavelets, such as orthonomality, time-frequency ...
Xudong Teng, Xiao Yuan
openaire   +1 more source