MODE DECOMPOSITION OF TWO DIMENSIONAL STRESS FIELD
نویسندگان
چکیده
منابع مشابه
A New Two-dimensional Empirical Mode Decomposition Based on Classical Empirical Mode Decomposition and Radon Transform
Empirical mode decomposition is a method to decompose signals proposed by N.E.Huang et. al in 1998. It can extract adaptively the oscillatory modes at each time from a complex signal, namely it can decompose the signal into a finite (often less) number of intrinsic mode functions (IMFs). With Hilbert transform, the IMFs yield instantaneous frequencies as functions of time, that give sharp ident...
متن کاملSynchrosqueezed Curvelet Transform for Two-Dimensional Mode Decomposition
This paper introduces the synchrosqueezed curvelet transform as an optimal tool for two-dimensional mode decomposition of wavefronts or banded wave-like components. The synchrosqueezed curvelet transform consists of a generalized curvelet transform with application dependent geometric scaling parameters, and a synchrosqueezing technique for a sharpened phase space representation. In the case of...
متن کاملVariable Sampling of the Empirical Mode Decomposition of Two-Dimensional Signals
Previous work on Empirical Mode Decomposition in two dimensions typically generates a residue with many extrema points. In this paper we propose an improved method to decompose an image into a number of Intrinsic Mode Functions and a residue image with a minimum number of extrema points. We further propose a method for the variable sampling of the two-dimensional Empirical Mode Decomposition. S...
متن کاملA two-dimensional empirical mode decomposition method with application for fusing panchromatic and multispectral satellite images
Remote sensing technologies are one of the major research topics in fusing multisource data and generating high-quality satellite images. In this paper, a new two-dimensional empirical mode decomposition (EMD) method is presented and used to fuse high-resolution panchromatic and multispectral images. First, the new two-dimensional EMD technique, which includes determining the ending criterion o...
متن کاملFacial Emotion Recognition Based on Two-dimensional Empirical Mode Decomposition and Pca plus Lda
This paper proposes a new approach of using nonlinear technique, two-dimensional empirical mode decomposition (2DEMD) and PCA plus LDA for facial emotion recognition. The EMD is a non-parametric data-driven analysis tools which decomposes any nonlinear and non-stationary signals into a number of intrinsic mode functions (IMFs). In this work we used the 2DEMD which is the extension of one dimens...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Structural and Construction Engineering (Transactions of AIJ)
سال: 1996
ISSN: 1340-4202,1881-8153
DOI: 10.3130/aijs.61.83_3