搜索资源列表
instfreq
- 信号瞬时频率的MATLAB实现计算，用于信号的分析-signal instantaneous frequency of MATLAB, for signal analysis
INSTFREQ
- 采用梯形积分法计算解析信号的瞬时频率估计
all-emd
- 完备工具包，在原工具包中添加了io.m/extr.m，instfreq.m
matlab_time_frequence
- 有关时频分析的matlab的程序 希望对大家有所帮助-the time-frequency analysis of the procedures Matlab we hope to help
instfreq
- 信号瞬时频率的MATLAB实现计算，用于信号的分析-signal instantaneous frequency of MATLAB, for signal analysis
spfx
- 大师开发的时频分析工具箱，matlab语言编写，可作为toolbox。-Master the development of time-frequency analysis toolbox, matlab language as a toolbox.
INSTFREQ
- 采用梯形积分法计算解析信号的瞬时频率估计-Using trapezoidal integration method to calculate analytical signal of instantaneous frequency estimation
all-emd
- 完备工具包，在原工具包中添加了io.m/extr.m，instfreq.m-Complete toolkit, in the original kit added io.m/extr.m, instfreq.m
instfreq
- 求解瞬时频率函数，一般在matlab时频分析中使用-Solve the instantaneous frequency function, usually in the time-frequency analysis using matlab
instfreq
- 信号瞬时频率的MATLAB实现计算，用于信号的分析-MATLAB realization of the signal instantaneous frequency calculation for signal analysis
instfreq
- 求希尔伯特变换后的瞬时频率,经过信号的解析，反正切变换，求导得出-instant frequency
instfreq
- this code extract instantaneous frequency of signal
instfreq
- 针对EMD经验模态分解不能找到instfreq的问题-For empirical mode decomposition EMD can not find instfreq problems
Desktop
- 用已有的imf 分量画hht谱图，需要调用InstFreq 函数-Imf components with the existing painting hht spectrum function call InstFreq
emd_instfreq
- EMD+instfreq工具箱，已使用过，效果不-EMD kit has been used, the effect is good
emd+instfreq
- 包括emd分解和instfreq补丁程序，适用于emd分解，处理非平稳信号。(Including EMD decomposition and instfreq patch, EMD decomposition is applied to deal with non-stationary signals.)
emd_instfreq
- emd+instfreq，进行信号的图像处理，得到imf分量(Emd+instfreq, the signal image processing, to get the IMF component)
HHT
- 基于经验模态分解法（EMD）的Hilbert-Huang变换（HHT）的MATLAB程序。 可将非平稳信号转换为平稳信号，通过将IMF分量累加重构得到平稳信号 。 主程序为HHT.m，需要用到hhspectrum.m函数、instfreq.m函数（在压缩包内）和已安装的EMD工具箱中emd函数。(The empirical mode decomposition (EMD) method based on Hilbert-Huang
instfreq
- 亲自测试 完全可以运行且有效，求瞬时频率，各个版本的matlab 都ok(Test yourself Can be run completely and effectively)
emd加instfreq信号处理工具
- 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 conditi