Description: 经验模式分解程序（简称EMD），在某些情况下比WAVELET TRANSFORM 和STFT分析效果要好，就是计算很费时间！-Empirical Mode Decomposition (EMD), In some cases than WAVELET TRANSFORM STFT analysis and better results. Computing is a great time! Platform: |
Size: 524288 |
Author:张勇 |
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Description: emd 算法，用于经验模式分解，基于镜像延拓-EMD algorithm, for the empirical mode decomposition, based on the mirror extension Platform: |
Size: 3072 |
Author:qucongshan |
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Description: 用谐波小波对信号进行多层分解，提取信号特征量-Harmonic signal with multiple layers of wavelet decomposition, the volume of extraction of signal characteristics Platform: |
Size: 2048 |
Author:张磊 |
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Description: 利用emd对一维信号进行去噪的最新程序。包含了三种emd去噪方法：1、直接使用小波阈值，进行硬阈值去噪；2、使用具有emd分解特性的阈值去噪；3、emd分解后的平移不变去噪。-Using emd on one-dimensional signal de-noising of the latest procedures. Emd contains three kinds of de-noising methods: a direct use of wavelet thresholding to carry out hard-threshold de-noising 2, using a emd decomposition characteristics of the threshold de-noising 3, emd decomposition of the translation invariant de-noising. Platform: |
Size: 6144 |
Author:王文波 |
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Description: 一种基于EMD分解后对imf分量利用小波分解进行去噪的方法，给出了相应的例子，有注释-Based on the EMD decomposition after the imf component by using the method of wavelet decomposition denoising, corresponding examples are given, with comments Platform: |
Size: 6144 |
Author:王文书 |
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Description: 本文针对基于经验模态分解ＥＭＤ的时空滤波器存在的固有模态函数分量中频率混叠交叉导致有用信号与噪声一起被滤除的问题结合小波在时间尺度两域表征信号局部特征的特性提出了一种基于能量估计实现ＥＭＤ分解层数确定-In this paper, based on empirical mode decomposition EMD temporal filter mode functions inherent component of cross-frequency aliasing and noise together lead to useful signal is filtered in the time scale of the problem combined with wavelet domain characterization of two local features of the signal characteristics of proposed achieve energy estimation based on EMD decomposition level determined Platform: |
Size: 575488 |
Author:张力 |
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Description: 其中一个为这经验模式分解的任务（EMD）是潜在有用的非参数信号去噪 为此小波阈值一直占主导地位的技术的区域多年。-One of the empirical mode decomposition of this task (EMD) is potentially useful non-parametric signal wavelet threshold de-noising for many years to this end has been the dominant technology in the region. Platform: |
Size: 1327104 |
Author:诗页 |
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Description: 经验模态分解（EMD），对imf进行分析，再采用类小波阈值去噪。-Empirical Mode Decomposition (EMD), were analyzed for the imf, then using class wavelet thresholding. Platform: |
Size: 54272 |
Author:张磊 |
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Description: 关于emd的分解合成等相关的程序，对于处理雷克子波图像效果好-About emd decomposition synthesis and other related procedures for dealing with Ricker wavelet image effects Platform: |
Size: 230400 |
Author:纪玮 |
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Description: 最近的一些方法，如经验模式分解
（EMD），提出将信号分解
其包含的信息。尽管它的适应性似乎
对于许多应用程序，这种方法的主要问题
是它缺乏理论。本文提出了一种新的方法
建立自适应小波。主要的想法是提取不同
设计适当的小波滤波器组的信号模式。
这种结构导致我们到一个新的小波变换，称为
经验小波变换。许多实验
显示此方法相比经典的有用性
EMD-Some recent methods, like the Empirical Mode Decomposition
(EMD), propose to decompose a signal accordingly
to its contained information. Even though its adaptability seems
useful for many applications, the main issue with this approach
is its lack of theory. This paper presents a new approach to
build adaptive wavelets. The main idea is to extract the different
modes of a signal by designing an appropriate wavelet filter bank.
This construction leads us to a new wavelet transform, called the
empirical wavelet transform. Many experiments are presented
showing the usefulness of this method compared to the classic
EMD. Platform: |
Size: 2185216 |
Author:雨林 |
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Description: 一种进行小波降噪后，对特征库的信号进行信号经验模态分解的例子(An example of signal empirical mode decomposition for signal of characteristic library after wavelet de-noising) Platform: |
Size: 29696 |
Author:JLUCWZ
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Description: 该方法的关键是经验模式分解，它能使复杂信号分解为有限个本征模函数（Intrinsic Mode Function，简称IMF），所分解出来的各IMF分量包含了原信号的不同时间尺度的局部特征信号。经验模态分解法能使非平稳数据进行平稳化处理，然后进行希尔伯特变换获得时频谱图，得到有物理意义的频率。与短时傅立叶变换、小波分解等方法相比，这种方法是直观的、直接的、后验的和自适应的，因为基函数是由数据本身所分解得到。由于分解是基于信号序列时间尺度的局部特性，因此具有自适应性。(The key of this method is empirical mode decomposition, which decomposes the complex signal into a finite number of intrinsic mode functions (IMFs). Each IMF component is decomposed into local characteristic signals of different time scales of the original signal . Empirical mode decomposition method can stabilize the non-stationary data, and then perform Hilbert transform to obtain the time-frequency spectrum to obtain the physical frequency. Compared with short-time Fourier transform, wavelet decomposition and other methods, this method is intuitive, direct, posterior and adaptive, because the basis function is derived from the data itself. Since decomposition is based on the local characteristics of the time series of the signal sequence, it is self-adaptive.) Platform: |
Size: 6144 |
Author:张鱼小丸子
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Description: 经验模态分解，克服了小波分析的频率重叠效果不明显的问题。可以在欠定情况下进行信号分解。(Empirical mode decomposition, to overcome the wavelet analysis of the frequency overlap effect is not obvious problem. Signal decomposition can occur under undetermined conditions.) Platform: |
Size: 139264 |
Author:o0o.S.YIn
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Description: 调用程序可对信号进行EMD分解，再进行奇异值分解降噪(The calling program can decompose the signal by EMD, then the singular value decomposition and denoising 2D empirical wavelet program. The calling subroutine can perform the empirical wavelet transform on the image.) Platform: |
Size: 24576 |
Author:安之若素_ |
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Description: matlab代码，新进的emd分解工具，比小波效果好(Matlab code, the new EMD decomposition tool, is better than wavelet) Platform: |
Size: 7168 |
Author:是是是222 |
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Description: 三种emd去噪方法：1、直接使用小波阈值，进行硬阈值去噪；2、使用具有emd分解特性的阈值去噪；3、emd分解后的平移不变去噪。(Three kinds of EMD denoising methods: 1. Direct use of wavelet threshold for hard threshold denoising; 2. Use of threshold denoising with EMD decomposition characteristics; 3. Translation invariant denoising after EMD decomposition.) Platform: |
Size: 6144 |
Author:lyhsmile |
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Search - wavelet EMD decomposition