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]
Begal J +4 more
europepmc +1 more source
Robust Looming Spatial Localization in Dim Light via Daubechies Wavelet-Fused ON/OFF Pathways. [PDF]
Chang Z +5 more
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A new hybrid block collocation method for solving elliptic PDEs. [PDF]
Rufai MA +3 more
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Earlier prediction of Parkinson's disease using cross non-decimated wavelet transform and machine learning algorithm. [PDF]
Veena B +3 more
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A frequency-spatial dual perception network for efficient and accurate medical image segmentation. [PDF]
Chen D, Wu J, Zhang XY, Wang DH.
europepmc +1 more source
Interpretable metric learning in comparative metagenomics: The adaptive Haar-like distance. [PDF]
Gorman ED, Lladser ME.
europepmc +1 more source
Wavelet MRE: Imaging propagating broadband acoustic waves with wavelet-based motion-encoding gradients. [PDF]
Le Y +10 more
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Quantitative Analysis of Mother Wavelet Function Selection for Wearable Sensors-Based Human Activity Recognition. [PDF]
Nematallah H, Rajan S.
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WEIGHTED HAAR WAVELETS ON THE SPHERE
Starting from the one-dimensional Haar wavelets on the interval [0,1], we construct spherical Haar wavelets which are orthogonal with respect to a given scalar product. This scalar product induces a norm which is equivalent to the usual โ ยท โ2norm of L2(๐2).
Rosca, Daniela-Dorina
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Haar Wavelets in Data Analysis
One century ago (1910), the Hungarian mathematician Alfred Haar introduced the simplest wavelets in approximation theory, which are now known as the Haar wavelets. This type of wavelets can effectively be used to fit data in statistical applications.
Yu Qin Sun +2 more
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