搜索资源列表
tftb-0.1
- 分析非平稳信号的工具包,时频工具包,能帮你分析非平稳信号-Analysis Toolkit non-stationary signals, time-frequency toolkit can help you analyze non-stationary signals
gabor
- gabor变换是非平稳信号处理中一种很有用的信号处理方法 利用Labview实现gabor变换-gabor transform signal processing method is non-stationary signal processing using Labview a useful gabor transform
emdinmatlab
- 摘要:经验模态分解方法(EMD )在非平稳信号的分析和处理中起着重要的作用 ,为了能够方便的使用EMD方法对信号进行处理 ,现labVIEW 虚拟仪器开发平台良好的用户图形界面和TLAB 软件强大的数值分析功能相结合 ,利用 Lab V IEW调用 MATLAB实现EMD信号处理方法.仿真结果表明对信号进行EMD分解后,使得瞬时频率具有了物理意义,但只是对信号进行了初步处理 ,可根据实际需要进行相应后续处理 。-Abstract: The empirical mode decomposition
shuang-pu
- 可以对数据进行双谱计算。适合对非平稳信号进行分析。-The data can be double-spectrum calculation. Suitable for non-stationary signal analysis.
CSD_Detect_Eval1
- 基于脉冲噪声下的循环平稳信号的载波频率估计很好用的MATLAB-Good use is estimated based on the carrier frequency signal pulse noise Cyclostationarity under the MATLAB
CLEAN
- 计算非平稳信号的空间谱的clean算法matlab程序,可以运行。-calculates spectrum for unevenly spaced time series
emd
- 经验模态分解(EMD),可以用来完成对非平稳信号的模态分解和滤波-Empirical mode decomposition
cyclostationspectrum-estimation-
- 循环平稳信号的空间谱估计课件,应该对大家有帮助-Spatial spectrum estimation cyclostationary signals
Examples
- 《Matlab辅助现代工程数字信号处理》书籍的源码,8,9,10章为非平稳信号分析与处理;线性预测与自适应滤波;随机信号的高阶谱分析。-The source of 《Matlab secondary modern engineering digital signal processing》,chapter 8,9,10 non-stationary signal analysis and processing linear prediction and adaptive filtering
VMD
- 变模式分解(Variational Mode Decomposition),实现非线性、非平稳信号处理,解决经验模式分解(emd)缺陷,包含代码和对应的文章-Variational Mode Decomposition,non-station, non-linear signal processing, decompose a signal into different modes,improved emd method. include code and its corresponding p
frft1
- 分数阶傅立叶变换的快速算法,可实现非平稳信号的分数阶傅立叶变换-Fractional fast Fourier transform algorithm, enabling non-stationary signals fractional Fourier transform
WignerVille
- 时频分析的Wigner-Ville分布方法是非平稳信号分析的有力工具,交叉项的存在在一定程度上影响其使用。-Powerful tool Wigner-Ville distribution method for time-frequency analysis of non-stationary signal analysis, the existence of cross terms to some extent affect its use.
S-A-of-nonstationry-signals
- 噪声中非平稳信号的频谱分析,自己写的matlab程序,对非平稳信号采用经典谱估计,现代谱估计和时频分析方法估计-Spectrum analysis of non-stationary signals
EMD在广西季节降水预报中的应用
- 气候系统是一种耗散的!具有多个不稳定源的非线性!非平稳系统 该文利用支持向量机(SV M )算法在处理非 线性问题中的优越性和经验模态分解(E M l))算法在处理非平稳信号中的优势,采用将 E M D 与 SV M 相结合的短期气候预测方法,并应用到广西季节降水预报中
Non_stationary_signal_analysis
- 非平稳信号的处理方法,时频分布及、常用方法简单例子-Non-stationary signal processing methods, examples of commonly used methods
spectrum_sub
- spectrum_sub是谱减函数,使用谱减的方法达到降噪的目的,对于一般的平稳信号效果特别好。-Spectrum_sub is spectral subtraction function, using the spectral subtraction method to achieve the purpose of noise reduction, for general stationary signal effect is very good.
Non-stationary-signal-analysis
- 非平稳信号分析与处理,对非平稳信号的处理进行了详细的论述-Non-stationary signal analysis and processing of non-stationary signal analysis and processing to give a detailed exposition
eemd
- EMD方法,可将非平稳信号降解为单频信号。用于分析其频谱特性。-EMD method, the non-stationary signal degradation for single-frequency signal. For the analysis of their spectral characteristics.
eemd
- 总体平均经验模态分解适合于分析非线性、非平稳信号序列,具有很高的信噪比。-The overall average empirical mode decomposition process
emd
- emd的MATLAB程序,可实现对非平稳信号的分析-emd MATLAB program algorithm can achieve the analysis of non-stationary signals