Wavelets and their uses
IM Dremin, OV Ivanov, VA Nechitailo - Physics-Uspekhi, 2001 - iopscience.iop.org
This review paper is intended to give a useful guide for those who want to apply the discrete
wavelet transform in practice. The notion of wavelets and their use in practical computing …
wavelet transform in practice. The notion of wavelets and their use in practical computing …
[图书][B] Wavelets: tools for science and technology
S Jaffard, Y Meyer, RD Ryan - 2001 - SIAM
Wavelet analysis is a branch of applied mathematics that has produced a collection of tools
designed to process certain signals and images. This new book is devoted to describing …
designed to process certain signals and images. This new book is devoted to describing …
A wavelet-based method for multifractal image analysis. I. Methodology and test applications on isotropic and anisotropic random rough surfaces
A Arneodo, N Decoster, SG Roux - The European Physical Journal B …, 2000 - Springer
We generalize the so-called wavelet transform modulus maxima (WTMM) method to
multifractal image analysis. We show that the implementation of this method provides very …
multifractal image analysis. We show that the implementation of this method provides very …
Multifractality in the stock market: price increments versus waiting times
By applying the multifractal detrended fluctuation analysis to the high-frequency tick-by-tick
data from Deutsche Börse both in the price and in the time domains, we investigate …
data from Deutsche Börse both in the price and in the time domains, we investigate …
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 …
[HTML][HTML] A wavelet-based tool for studying non-periodicity
This paper presents a new numerical approach to the study of non-periodicity in signals,
which can complement the maximal Lyapunov exponent method for determining chaos …
which can complement the maximal Lyapunov exponent method for determining chaos …
Time--frequency analysis of biosignals
PS Addison, J Walker, RC Guido - IEEE engineering in …, 2009 - ieeexplore.ieee.org
The wavelet transform has a powerful time-frequency analysis and signal-coding tool
suitable for use in the manipulation of complex nonstationary signals. This article provides …
suitable for use in the manipulation of complex nonstationary signals. This article provides …
Fractality of Borsa Istanbul during the COVID-19 pandemic
Forecasting price changes is very important for the process of estimating and managing
market risk in financial markets. Price changes in financial markets may also depend on non …
market risk in financial markets. Price changes in financial markets may also depend on non …
A wavelet-based method for multifractal image analysis: from theoretical concepts to experimental applications
A Arneodo, N Decoster, P Kestener, SG Roux - Advances in imaging and …, 2003 - Elsevier
Publisher Summary This chapter highlights a detailed description of the 2D wavelet
transform modulus maxima (WTMM) methodology with some test applications to random …
transform modulus maxima (WTMM) methodology with some test applications to random …
Pitfalls in fractal time series analysis: fMRI BOLD as an exemplary case
This article will be positioned on our previous work demonstrating the importance of
adhering to a carefully selected set of criteria when choosing the suitable method from those …
adhering to a carefully selected set of criteria when choosing the suitable method from those …