Multiresolution Markov models for signal and image processing
AS Willsky - Proceedings of the IEEE, 2002 - ieeexplore.ieee.org
Reviews a significant component of the rich field of statistical multiresolution (MR) modeling
and processing. These MR methods have found application and permeated the literature of …
and processing. These MR methods have found application and permeated the literature of …
A multifractal analysis of mineralization characteristics of the Dayingezhuang disseminated-veinlet gold deposit in the Jiaodong gold province of China
J Deng, Q Wang, L Wan, H Liu, L Yang, J Zhang - Ore Geology Reviews, 2011 - Elsevier
The gold concentration distributions along drifts in the Dayingezhuang fault-controlled,
disseminated-veinlet gold deposit in the Jiaodong gold province, eastern China has been …
disseminated-veinlet gold deposit in the Jiaodong gold province, eastern China has been …
Multifractal detrended cross-correlation analysis for two nonstationary signals
WX Zhou - Physical Review E—Statistical, Nonlinear, and Soft …, 2008 - APS
We propose a method called multifractal detrended cross-correlation analysis to investigate
the multifractal behaviors in the power-law cross-correlations between two time series or …
the multifractal behaviors in the power-law cross-correlations between two time series or …
Detrending moving average algorithm for multifractals
GF Gu, WX Zhou - Physical Review E—Statistical, Nonlinear, and Soft …, 2010 - APS
The detrending moving average (DMA) algorithm is a widely used technique to quantify the
long-term correlations of nonstationary time series and the long-range correlations of fractal …
long-term correlations of nonstationary time series and the long-range correlations of fractal …
A multifractal approach for stock market inefficiency
In this paper, the multifractality degree in a collection of developed and emerging stock
market indices is evaluated. Empirical results suggest that the multifractality degree can be …
market indices is evaluated. Empirical results suggest that the multifractality degree can be …
Detrended fluctuation analysis for fractals and multifractals in higher dimensions
GF Gu, WX Zhou - Physical Review E—Statistical, Nonlinear, and Soft …, 2006 - APS
One-dimensional detrended fluctuation analysis (DFA) and multifractal detrended fluctuation
analysis (MFDFA) are widely used in the scaling analysis of fractal and multifractal time …
analysis (MFDFA) are widely used in the scaling analysis of fractal and multifractal time …
Wavelet leaders and bootstrap for multifractal analysis of images
Multifractal analysis is considered a promising tool for image processing, notably for texture
characterization. However, practical operational estimation procedures based on a …
characterization. However, practical operational estimation procedures based on a …
Multi-scale coding of genomic information: From DNA sequence to genome structure and function
Understanding how chromatin is spatially and dynamically organized in the nucleus of
eukaryotic cells and how this affects genome functions is one of the main challenges of cell …
eukaryotic cells and how this affects genome functions is one of the main challenges of cell …
Wavelet based multifractal formalism: applications to DNA sequences, satellite images of the cloud structure, and stock market data
We elaborate on a unified thermodynamic description of multifractal distributions including
measures and functions. This new approach relies on the computation of partition functions …
measures and functions. This new approach relies on the computation of partition functions …
Wavelet-based multifractal formalism to assist in diagnosis in digitized mammograms
P Kestener, JM Lina, P Saint-Jean… - Image analysis and …, 2001 - ias-iss.org
We apply the 2D wavelet transform (WTMM) method to perform a multifractal analysis of
digitized mammograms. We show that normal regions display monofractal scaling properties …
digitized mammograms. We show that normal regions display monofractal scaling properties …