emd算法
① 求实时红外气体检测基于EMD算法修改的英文资料的中文翻译
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Ma Yun Ren Zhiqiang Li Jiacheng Liu Chuan Shi Yuzhu
Q.
Xie
Et
Al
/
Sensors
And
Actuators
B
136
2009.
303 - 309
305
Fig
4
The
Characteristics
Of
那个
Output
Signal
From
那个
Photodiode
(a)
The
Wave-
Form
Of
那个
Output
Signal
(b)
The
Fourier
Analysis
Of
那个
Output
Signal
(c)
The
Uctuations
Of
那个
Output
Waves
Converts
Into
Voltage
The
Ow
Of
Gas
Mixture,
Clean
Air
And
Testing
Gas,
Is
Controlled
By
Two
Mass
Ow
Meters
The
Rapid
Changes
Of
Gas
Concentration
Can
Be
Obtained
By
A
Three-path
Valve
The
Gas
Con-
Centration
Is
Calculated
Through
那个
Beer - Lambert
Absorption
Law
[14]
Which
Relates
那个
Intensity
Of
Incoming
Light
To
那个
Transmitted
Intensity
The
Output
Waveform
Is
Shown
In
Fig
4
A,
那个
A
/
D
Sampling
Rate
Is
500
The
Waveform
Is
Unsymmetric
With
A
Long
Response
And
Short
Recovery
Time
Its
Fourier
Spectrum
Is
Given
In
Fig
4
B
In
Which
那个
DC
Component
Is
Ignored
And
那个
Power
Is
Normalized
It
Can
Be
Seen
From
那个
Gure
That
那个
Signal
Has
那个
Fundamen-
Tal
Frequency
Of
16
Hz
And
Also
Contains
Harmonic
Components
Fig
4
C
Shows
那个
Upper
Envelope
Boundary
Of
那个
Measured
Out-
Put
The
Dependency
Of
那个
Output
Amplitude
On
那个
Perturbation
Can
Be
Clearly
Noted
These
Perturbations
Or
Uctuations
Mainly
Come
From
Two
Sources
[2]
:
那个
Measurement
Noise
Introced
By
那个
System
And
True
Concentration
Variation
In
Order
To
Get
Accu-
Rate
Gas
Concentration,
那个
Uctuations
Due
To
Measurement
Noise
Need
To
Be
Reced
Fig
5
Unsuccessful
Decomposition
Of
那个
Experimental
Signal
By
那个
Original
EMD
3.2
The
Modi ed
EMD
And
A
Mean-envelope
Lter
Although
那个
EMD
Algorithm
Is
Effective
In
Decomposing
Dif-
Ferent
Signals,
It
Cannot
Correctly
Decompose
那个
Wave
With
Some
Spurs
In
Addition,
Even
If
All
Meaningful
IMFs
② 跪求一个EMD算法的MATLAB程序 要求能适应各种函数 半成品也可以接受 如果好的话 财富值还可以再增
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③ emd算法普通单片机51 pic stm上面可以运行吗
可以，，不过速度非常慢。。。最好用有Dsp的单片机。。
④ EMD算法求出的残差向量就是稳态的残差分量吗，可是我算出来的残差都数量级为-11，几乎为零，频率也很大
你应该是用matlab做的吧，残差是求出的矩阵的最后一行。由EMD可知，IMF应该是均值为零的，最后一行明显不是。
⑤ 什么叫EMD
EMD(Empirical Mode Decomposition)算法1995年由NASA海洋水波实验室提出,本质上是一种将时域信号按频率尺度分解的数值算法,对于线性时不变系统,它可以从时域信号中直接提取具有不同特征时间尺度的内禀模式函数(IMF,Intrinsic Mode Function),分解得到的IMFs之间具有正交性,且分解唯一.本文以此为基础,将NExT(Natural Excitation Technique)方法推广到多点随机激励下的复模态情况,对多自由度线性系统实测响应信号的互相关函数进行EMD分解,并进而实现模态参数的辨识.
⑥ 用MATLAB实现EMD算法
ilovematlab论坛上可以免费下载，都可以运行
⑦ EMD是什么意思啊
EMD是铁路内燃机车的发明者
⑧ EMD算法分解信号后，怎么将这些信号重构呢求高手指点
有个叫BOUDRAA的人发明了一种算法，叫连贯均方误差法，就是分别求每个IMF分量的平方，取完后求和再取平均，求和的点数是N，即采样点的点数。假如你分解得到了M个IMF分量，那么就应该有M个这样的数，把得到的这些数圆整，求出最小的整数，记为K。那么K之前的包括K的这些分量相加应该是噪声的信号，K之后的加上剩余信号即为重构信号。不过目前该方法被证实不适合信噪比低得信号，不过一般的处理效果还可以。