Results 241 to 250 of about 2,723,745 (323)
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Stationary wavelet transform based ECG signal denoising method.

ISA transactions, 2020
Electrocardiogram (ECG) signals are used to diagnose cardiovascular diseases. During ECG signal acquisition, various noises like power line interference, baseline wandering, motion artifacts, and electromyogram noise corrupt the ECG signal.
Ashish Kumar   +4 more
semanticscholar   +1 more source

Fractional wavelet transform

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

A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform

Applied Soft Computing, 2019
In recent years, there has been increasing interest in the development of telediagnosis and telemonitoring systems for Parkinson’s disease (PD) based on measuring the motor system disorders caused by the disease.
C. O. Sakar   +9 more
semanticscholar   +1 more source

Symplectic wavelet transformation

Optics Letters, 2006
Usually 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

Distributional Wavelet Transform

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pathak, R. S., Singh, Abhishek
openaire   +1 more source

Wavelet Transform

Handbook of Formulas and Tables for Signal Processing, 2018
semanticscholar   +3 more sources

Optimization of segmentation fragments in empirical wavelet transform and its applications to extracting industrial bearing fault features

Measurement, 2019
Empirical wavelet transform is a wavelet filter bank to decompose a bearing fault signal into several sub-signals for extracting bearing fault features and it attracts lots of attention recently because it looks like a hybrid of wavelet transform and ...
Dong Wang, K. Tsui, Yong Qin
semanticscholar   +1 more source

Wavelet Transform of Multifractals

Physical Review Letters, 1988
no ...
Arneodo, A.   +2 more
openaire   +2 more sources

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

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