Results 191 to 200 of about 10,321 (256)
Wavelet-CNet: Wavelet Cross Fusion and Detail Enhancement Network for RGB-Thermal Semantic Segmentation. [PDF]
Sensors (Basel)Zhang W, Zhang Q, Yan Y.
europepmc +1 more source
Sparse Transform and Compressed Sensing Methods to Improve Efficiency and Quality in Magnetic Resonance Medical Imaging. [PDF]
Sensors (Basel)Villota S, Inga E.
europepmc +1 more source
DeepFRAG: a method for cancer detection based on DNA fragmentomics and deep learning. [PDF]
Bioinform AdvKoch A, Giladi E.
europepmc +1 more source
Earlier prediction of Parkinson's disease using cross non-decimated wavelet transform and machine learning algorithm. [PDF]
Sci RepVeena B +3 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Applied Optics, 1997
The wavelet transform, which has had a growing importance in signal and image processing, has been generalized by association with both the wavelet transform and the fractional Fourier transform. Possible implementations of the new transformation are in image compression, image transmission, transient signal processing, etc.
D, Mendlovic +4 more
openaire +2 more sources
The wavelet transform, which has had a growing importance in signal and image processing, has been generalized by association with both the wavelet transform and the fractional Fourier transform. Possible implementations of the new transformation are in image compression, image transmission, transient signal processing, etc.
D, Mendlovic +4 more
openaire +2 more sources
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 ...
Hong-Yi, Fan, Hai-Liang, Lu
openaire +2 more sources