The Inversion of Multiscale Convolution Approximation and Average of Distributions It develops two kinds of inversion formulas of the multiscale convolution approximation which is defined by a convolution kernel. The average of distributions is cons
In order to denoise Poisson count data, we introduce a variance stabilizing transform (VST) applied on a filtered discrete Poisson process, yielding a near Gaussian process with asymptotic constant variance. This new transform, which can be deemed a
[X_SIM,QUAL,NPC,DEC_SIM,PCA_Params] = wmspca(X,LEVEL,WNAME,NPC) or [...] = wmspca(X,LEVEL,WNAME,'mode',EXTMODE,NPC) returns a simplified version X_SIM of the input matrix X obtained from the wavelet-based multiscale principal component analysis (PCA
三维大变形产生内秉纽结II:多尺度，肖建华，，Once micro-scale intrinsic curvatures are produced within the material by large deformation in 3-space, what physical feature can be used to identify their existence? Based on the
A multiscale information measure (MIM), calculable from per-pixel wavelet coefficients, but relying on global statistics of synthetic aperture radar (SAR) image, is proposed. It fully exploits the variations in speckle pattern when the image resoluti
Based on the laser speckle contrast imaging (LSCI) and the multiscale entropy (MSE), we study in this work the blood flow dynamics at the levels of cerebral veins and the surrounding network of microcerebral vessels. We discuss how the phenylephrine-
Multiscale multifractality of air traffic flow volume time series characterizes the operation and the evolution characteristics of the air traffic system in the temporal dimension, which are helpful in gaining a better understanding of the dynamical
