In this paper, we propose some recent works on data analysis and synthesis based on
Empirical Mode Decomposition (EMD). Firstly, a direct 2D extension of original Huang EMD …

Assistive technology enables people to achieve independence when performing daily tasks
and it enhances their overall quality of life. Visual information is the basis for most …

Empirical mode decomposition (EMD) is an adaptive, data-driven algorithm that
decomposes any time series into its intrinsic modes of oscillation, which can then be used in …

Assistive technology enables people to achieve independence when performing daily tasks
and it enhances their overall quality of life. Visual information is the basis for most …

Semi-local Hurst estimation is considered for random fields where the regularity varies in a
piecewise manner. The recently developed generalised lasso is exploited to propose a …

The nonlinear and nonstationary nature of Navier-Stokes equations produces fluid flows that
can be noticeably different in appearance with subtle changes. In this paper, we introduce a …

In this paper, we propose a blind image watermarking scheme based on bidimensional
empirical mode decomposition (BEMD). BEMD is a possible 2D extension of empirical mode …

Empirical Mode Decomposition (EMD) is applied here in two dimensions over the sphere to
demonstrate its potential as a data-adaptive method of separating the different scales of …

Statistical analysis and synthesis of self‐similar discrete time signals are presented. The
analysis equation is formally defined through a special family of basis functions of which the …

摘要直接多步预测不依靠单步预测的结果而直接使用测量数据, 效果理想, 但往往要求模型能够
学**多种不同的目标函数. 本文建立的直接多步预测混合模型, 使用模式分解方法把原始时间 …