搜索资源列表
emd
- Hilbert 黄变换代码,主要实现黄变换的分解和谱分析
emd
- EMD经验模态分解,用于信号处理，常和hilbert-huang变换一起用于信号特征提取、信号消噪等领域。
hilbert-huang.rar
- 实现EMD分解，并对原始信号进行hilbert谱分析，通俗易懂，操作方便,The realization of EMD decomposition, and the original signal hilbert spectral analysis, user-friendly, easy to operate
HHT
- 这是一个完整的EMD分解全过程，有Hilbert谱和边际谱。直接把源码复制到matlab即可。很全面。-This is a complete decomposition of the whole process of EMD, a Hilbert spectrum and marginal spectrum. Directly to the source code can be copied to the matlab. Very comprehensive.
Hilbert_VC
- Visual C++编写的希尔伯特（Hilbert）变换完整程序,可直接编译运行，希望对大家有用。-A complete program of Hilbert (Hilbert) transform is written by Visual C++,which can be directly translated to run.It want to be useful to everyone.
EMD
- Hilbert-huang变换代码,主要实现HHT变换中EMD分解的Matlab程序，已经通过实际调试，附运行效果bmp图，若参数稍加修改，可对不同信号进行多模态分解。-HHT transform EMD decomposition Matlab program, through the actual commissioning, operating results bmp attached map parameters slightly modified, different signals
emd
- 用于希尔伯特变换，里面有HHT谱计算程序，不是rilling版本，用改进的Hilbert变换，效果好一些，供大家参考-HHT spectrum of the calculation procedures, rilling is not a version of the Hilbert transform used to improve the results better for your reference.
EEMD
- hilbert-huang 变换中EMD(经验模态分解)方法对非线性信号的分析，固定模态分量及瞬时频率计算-hilbert-huang transform EMD (Empirical Mode Decomposition) method of nonlinear signal analysis, the fixed component and the instantaneous modal frequency counter Operator
EMD
- 经验模态分解与希尔波特-黄变换适用于处理非线性与非平稳性过程 -Empirical mode decomposition and Hilbert- Huang Transform
emd
- HHT gcc代码，专门用于希尔伯特黄变换。-HHT gcc code, specifically for the Hilbert-Huang Transform.
emd
- 台湾中央大学小组的EDM源代码。。 各种源代码齐全。-hilbert-huang transform Empirical mode decomposition
emd
- 一个emd分解程序，包括瞬时频率，瞬时幅值，边际谱，Hilbert谱-A emd decomposition process, including instantaneous frequency, instantaneous amplitude, the marginal spectrum, Hilbert spectrum
emd
- 希尔伯特黄变换中的第一步EMD的matlab代码，希望对大家有用。-Hilbert-Huang transform in MATLAB code for the first step of EMD, hope useful to everybody
emd
- 经验模态分解程序包 希尔伯特黄变换程序,J仅供参考(Empirical mode decomposition package Hilbert Huang transform program)
emd
- 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 thi
Hilbert变换
- 将原始信号进行EMD分解并计算Hilbert谱。(The original signal is decomposed by EMD and the Hilbert spectrum is calculated.)
emd
- emd分解程序代码，里面有详细介绍，请下载使用(function imf = emd(x) % Empiricial Mode Decomposition (Hilbert-Huang Transform) % imf = emd(x) % Func : findpeaks x = transpose(x(:)); imf = []; while ~ismonotonic(x) x1 = x; sd = Inf; while (sd > 0.1)
EMD-Hilbert
- 轴承故障诊断中振动信号EMD分解和Hilbert包络(EMD Decomposition and Hilbert Envelope of Vibration Signal in Bearing Fault Diagnosis)
emd
- 用于 EMD 经验模态分解计算及希尔伯特变换(For empirical mode decomposition and the Hilbert spectrum calculation)
EMD程序
- 基于MATLAB对EMD算法分解的例子，学习希尔伯特-黄变换的可以参考学习(Based on the example of EMD algorithm decomposition in MATLAB, learning Hilbert-Huang transform can be referred to.)