Results 1 to 10 of about 5,802,905 (300)
Rigorous Free-Fermion Entanglement Renormalization from Wavelet Theory
Physical Review X, 2018 We construct entanglement renormalization schemes that provably approximate the ground states of noninteracting-fermion nearest-neighbor hopping Hamiltonians on the one-dimensional discrete line and the two-dimensional square lattice.
Jutho Haegeman +5 more
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RANDOM WAVELET SERIES: THEORY AND APPLICATIONS
Emergent Nature, 2002 Random Wavelet Series form a class of random processes with multifractal properties. We give three applications of this construction. First, we synthesize a random function having any given spectrum of singularities satisfying some conditions (but including non-concave spectra).
Aubry, Jean-Marie, Jaffard, Stéphane
openaire +3 more sources
A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients
Entropy, 2014 The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed.
Mariel Rosenblatt +4 more
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WaveConstLib: A java library for signal analysis and wavelet construction
SoftwareXWavelet theory (WT) is essential for analyzing non-stationary signals, particularly in real-world applications requiring time-frequency analysis. A key challenge is to identify the optimal wavelet function that matches signal characteristics, enabling ...
Çağla Sarvan Cibil, Nalan Özkurt
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Wavelet Transform for Processing Power Quality Disturbances
EURASIP Journal on Advances in Signal Processing, 2007 The emergence of power quality as a topical issue in power systems in the 1990s largely coincides with the huge advancements achieved in the computing technology and information theory.
H. Y. Zhu, S. Chen
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Illumination and Reflectance Estimation with its Application in Foreground Detection
Sensors, 2015 In this paper, we introduce a novel approach to estimate the illumination and reflectance of an image. The approach is based on illumination-reflectance model and wavelet theory.
Gang Jun Tu +3 more
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A Proposed Image Structure of Multiwavelet Network
Journal of Engineering and Sustainable Development, 2014 The combination of wavelet theory and neural networks has lead to the development of wavelet networks. Wavelet networks are feed-forward neural networks using wavelets as activation function.
Wael Hussein Zayer, Ahmed Thamer Radi
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Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19. [PDF]
Biology (Basel), 2020 Tat Dat T +10 more
europepmc +1 more source
The Research of DEM Compression Based on Multi-band Wavelet Technology
Shuitu baochi yanjiu, 2007 DEM is a very wide range application of terrain model,but due to its mass data,how to achieve high efficiency compression application has been an important topic.Multi-band wavelet is a new branch of developing wavelet theory in recent years.The thesis ...
Lü Xi-kui, YI Si-rong, HAN Chun-hua
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Fault Diagnosis Method of Bearing of Asynchronous Motor Based on Wavelet-packet and EMD
Gong-kuang zidonghua, 2010 In view of the problem that diagnosis effect of traditional fault diagnosis method of bearing of asynchronous motor is bad for local defect and initial fault of bearing, the paper proposed a method of using wavelet-packet theory and EMD to extract fault ...
LIN Xuan, TIAN Mu-qi
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