Results 11 to 20 of about 2,723,745 (323)
Rotationally invariant texture features using the dual-tree complex wavelet transform [PDF]
, 2000 New rotationally invariant texture feature extraction methods are introduced that utilise the dual-tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new technique that uses a dual tree of wavelet filters to obtain the real and ...
Bull, David +2 more
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Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review
Applied Sciences, 2019 Non-stationary time series (TS) analysis has gained an explosive interest over the recent decades in different applied sciences. In fact, several decomposition methods were developed in order to extract various components (e.g., seasonal, trend and ...
Manel Rhif +4 more
semanticscholar +1 more source
Comments on "phase-shifting for nonseparable 2-D haar wavelets" [PDF]
, 2009 In their recent paper, Alnasser and Foroosh derive a wavelet-domain (in-band) method for phase-shifting of 2-D "nonseparable" Haar transform coefficients. Their approach is parametrical to the (a priori known) image translation.
Andreopoulos, Y
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The wavelet transforms in Gelfand-Shilov spaces [PDF]
, 2015 We describe local and global properties of wavelet transforms of ultradifferentiable functions. The results are given in the form of continuity properties of the wavelet transform on Gelfand-Shilov type spaces and their duals. In particular, we introduce
Pilipovic, Stevan +3 more
core +3 more sources
Advances in Mechanical Engineering, 2020 Gear pump is the key component in hydraulic drive system, and it is very significant to fault diagnosis for gear pump. The combination of sparsity empirical wavelet transform and adaptive dynamic least squares support vector machine is proposed for fault
Yan Lu, Zhiping Huang
doaj +1 more source
Asymptotic Expansions of the Wavelet Transform for Large and Small Values of b
International Journal of Mathematics and Mathematical Sciences, 2009 Asymptotic expansions of the wavelet transform for large and small values of the translation parameter b are obtained using asymptotic expansions of the Fourier transforms of the function and the wavelet.
R. S. Pathak, Ashish Pathak
doaj +1 more source
Local appearance-based face recognition using adaptive directional wavelet transform
Journal of King Saud University: Computer and Information Sciences, 2019 The latest research has shown that adaptive directional wavelet transform can constitute edges and textures in images efficiently due to the adaptive directional selectivity.
Mohd. Abdul Muqeet, Raghunath S. Holambe
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Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform
Applied Sciences, 2019 A wind power short-term forecasting method based on discrete wavelet transform and long short-term memory networks (DWT_LSTM) is proposed. The LSTM network is designed to effectively exhibit the dynamic behavior of the wind power time series.
Yao Liu +6 more
semanticscholar +1 more source
ENO-wavelet transforms for piecewise smooth functions [PDF]
, 2002 We have designed an adaptive essentially nonoscillatory (ENO)-wavelet transform for approximating discontinuous functions without oscillations near the discontinuities. Our approach is to apply the main idea from ENO schemes for numerical shock capturing
Chan, Tony F., Zhou, H. M.
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Multi-focus Image Fusion Based on Non-subsampled Discrete Wavelet Transform
Journal of Harbin University of Science and Technology, 2018 Image fusion is widely used in military，medical and other fields. Image fusion technology is to use a specific algorithm to synthesize two or more images into a new image.
GUO Ling-xin, YUAN Li-ying, WANG Fei-yue
doaj +1 more source