2) Hilbert-Huang transform(HHT)
Hilbert-Huang变换
1.
This paper examined the rationale of Hilbert-Huang transform(HHT) for structural health monitoring by using experimental data from shaking table testing of a full-size two-story wooden house conducted at the Disaster Prevention Research Institute(DPRI),Kyoto University,Japan.
通过一个足尺的2层木结构房屋振动台试验,对Hilbert-Huang变换(HHT)在结构损伤诊断中的应用进行了研究与分析。
2.
A new method for nonlinear and non-stationary data processing,the Hilbert-Huang transform(HHT),is applied to analyze a typical nonlinear system,Duffing equation.
介绍了Hilbert-Huang变换(HHT)这一全新的处理非线性、非平稳信号数据的方法,将其用于分析典型的非线性系统-Duffing方程,通过对使用三阶Runge-Kutta法求解而得到的Duffing方程数值解分解后,得到了4个固有模态函数分量和1个残余量,给出了相应的能量-频率-时间分布图-Hilbert谱,并将其边际谱与Fourier谱作了比较。
3.
The signal prodigality analysis method based on Hilbert-Huang Transform(HHT) is put forward,and through the influence of the signal nonlinear on the main frequency distribution,we find out the approximated relationship between the prodigality and the main frequency of the near periodical signal which is rich in high frequencies.
提出了一种基于Hilbert-Huang变换(Hilbert-Huang Transform,HHT)的信号周期性分析方法,通过分析信号的非线性对主频分布的影响,找到了具有丰富高频含量的近似周期信号的主频与其周期性的近似对应关系。
3) Hilbert-Huang transform
Hilbert-Huang变换
1.
Using Hilbert-Huang transform to pick up instantaneous parameters of seismic signal;
利用Hilbert-Huang变换提取地震信号瞬时参数
2.
Denoise of Medical Ultrasonic Signal Based on Hilbert-Huang Transform;
基于Hilbert-Huang变换的医学超声信号去噪
3.
Fault diagnosis of diesel engine valve leakage based on hilbert-huang transform;
基于Hilbert-Huang变换的柴油机气门漏气故障诊断研究
4) HHT
Hilbert-Huang变换
1.
EVALUATION OF ENERGY AND SEISMIC EFFECT OF EARTHQUAKE WAVE BASED ON HHT ANALYSIS;
基于Hilbert-Huang变换分析的地震动能量与震动效应评估
2.
In this paper, a new method using the Hilbert-Huang Transform(HHT) was used to decompose S1 into a series of time-frequency atoms.
本文用一种全新的时频分析方法:Hilbert-Huang变换(HHT),对30例心音数据进行心音分析实验。
3.
A speaker emotion identification method based on Hilbert-Huang Transform(HHT)is proposed in this paper,six basic human emotions are investigated.
文章提出了一种基于Hilbert-Huang变换的汉语语音情感分类方法,研究了六种最基本的人类情感。
5) Hilbert-Huang transformation
Hilbert-Huang变换
1.
Fault diagnosis to mine hoist based on wavelet analysis and Hilbert-Huang transformation
基于小波分析与Hilbert-Huang变换的矿井提升机故障诊断
2.
Local and all-circumferential rubbing fault occurrences of rotors were simulated on a rotor test rig and the time-frequency characteristics of the fault-signals,issued under different conditions,obtained by Hilbert-Huang transformation(HHT).
通过转子实验台模拟了转子局部碰摩、全周碰摩故障,基于Hilbert-Huang变换(HHT)给出了不同条件下碰摩故障振动信号时频分布特征。
3.
According to the specific features of fault-vibration signals of a centrifugal pump,presented is a new method for fault diagnosis of vibration signals of a centrifugal pump by employing a combination of Hilbert-Huang transformation(HHT) and a radial basis function(RBF) neural network.
根据离心泵故障振动信号的特点,提出了一种Hilbert-Huang变换(HHT)和径向基(RBF)神经网络相结合的离心泵振动信号故障诊断新方法。
6) Hilbert-Huang transform (HHT)
Hilbert-Huang变换
1.
Hilbert-Huang transform (HHT) and direct method are applied to estimate the instantaneous frequencies of the multi-component AM-FM image respectively.
将一维经验模式分解(EMD)方法和Hilbert-Huang变换(HHT)直接应用于二维图像处理中,提出了一种新的二维EMD算法,将提取出图像的多尺度空间频率信息分别用HHT和直接法来估计多分量图像AM-FM形式的瞬时频率。
2.
This paper summarized the development and the current situation of the structual damage detection, put emphasis on the application review of Hilbert-Huang Transform (HHT) in damage detection.
本文总结了结构损伤检测的研究现状和发展趋势,重点回顾了Hilbert-Huang变换在损伤检测中的应用,在已有研究成果的基础上,针对结构损伤检测的要求,充分利用了Hilbert-Huang变换方法自适应性的特点和时频分析的能力,把这种新兴的信号处理方法由时域向空间域,一维向二维拓展,应用于结构损伤检测。
补充资料：Hilbert多项式
Hilbert多项式
Hflbert polynomial
H训比rt多项式[H刃比rt州帅团闹;介肠‘e阿aM。帅，-邢司，分次模M二田。从的 对于大自然数。，将该模齐次分量的维数表示为n的函数的多项式.更确切地说，本质上是由D.H亚比rt证明的下述定理成立.设A=双戈，…，戈】是域K上的多项式环，长为一次齐次元.设M“O，从是有限型分次A模.则存在一个有理系数多项式氏(t)，当n充分大时，d如尺从“氏(n).这个多项式称为Hn饮吐多项式(E山悦找pol班lom以). 意义最大的H刃饮成多项式是分次环R的这种多项式，这里的R为A对其齐次理想I的商环.这时E日饮成多项式给出了I所定义的射影簇X=Plpi(R) CP价的射影不变量.特别地，凡(t)的次数即为X的维数，而Pa(X)抓一l)向X(Pa(0)一l)称为X的算术亏格(面血留康g泊璐).H习抚时多项式也可用于表示嵌人万CP用的次数.环R的E日吮找多项式也称为射影簇X关于嵌人XC尸‘的Hn抚成多项式.若以l)是对应这个嵌人的可逆层，则当”充分大时， 凡(n)=由m‘H“(X，吸(l户).
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条