搜索资源列表
time-domain-analysis
- 非线性，非平稳信号的时域分析，matlab编程，仅供参考-Non-linear, non-stationary signals in time domain analysis, matlab programming for reference purposes only
Hilbertputu
- 非平稳信号经过分解后，对其进行谱分析，此希尔伯特谱程序，弥补了了以前的缺陷-Non stationary signal through decomposition, the spectral analysis, the Hilbert spectrum procedures, make up for the previous defect
fenxingar
- 此程序用于求非平稳信号的关联维数，最适用于原始信号的维数较低的情况-This procedure used for non-stationary signal correlation dimension, the most suitable for the original signal in the case of low dimension
shipingshangshiyang1
- 求信号的时频熵，对非平稳信号进行emd分解后，求时频熵，得出其故障特征-For the signal s time-frequency entropy, the nonstationary signals are EMD decomposition, and time-frequency entropy, the fault feature
Non_stationary_signal_analysis
- 非平稳信号分析。STFT变换及其MATLAB实现，Garbor展开、Choi-Williams分布、Wigner-Ville分布及其MATLAB实现。-Non-stationary signal analysis. STFT transform its MATLAB implementation, Garbor start, Choi-Williams distribution, Wigner-Ville distribution an
EMD-matlab
- EMD为经验分解法，对非平稳信号进行分解，应用非常广泛-EMD decomposition method for experience, to the non-stationary signal decomposition, very extensive
001
- 非平稳信号的瞬时频率、群延时、信号生成方法-Sub-stationary signal the instantaneous frequency, group delay, Signal Generation
stockwell-st
- S变换是一种时频分析方法，用于分析非平稳信号。-use S transform to process signal
HHT
- 希尔伯特-黄变换是一种时频分析方法，用于对非平稳信号进行分析-Hilbert-Huang transform is a time-frequency analysis
Hilbert-Huang
- 该变换方法对于分析非线性，非平稳信号十分有效-This transform method to analyze the nonlinear, non-stationary signal is very effective
Wavelet--analysis
- 小波分析 经典 实用 快速高效 非常适合非平稳信号分析-Wavelet analysis classic practical rapid efficient is very suitable for non-stationary signal analysis
wavelet
- 小波分析因其在处理非平稳信号中的独特优势而成为信号处理中的一个重要研究方向。如今随着小波理论体系的不断完善，小波以其时频局部化特性与多尺度特性在图像边缘检测领域中倍受青睐。-Wavelet analysis of nonstationary signal processing because of its unique advantage in signal processing and become an important rese
Signal-processing-simulation
- 运用MATLAB对自适应滤波器的应用、非平稳信号、非高斯信号进行分析处理。-Use of MATLAB in adaptive filter, non-stationary signals, the non-Gaussian signal analysis and processing.
feipingwenxinhaofangzhen
- 非平稳信号的分析仿真的源程序，效果很好，很是实用。-The source of the non-stationary signal analysis and simulation, the effect is very good, very practical.
6077589Time-Frequence
- 基于时频分析的盲分离。用于处理非平稳信号。里面包含数据文件。-Blind source separation based on the time-frequency analysis. For handling non-stationary signals. Which contains the data files.
WVD
- 非常有用的非平稳信号分析工具箱，对非平稳信号参数估计很有帮助。-Useful non-stationary signal analysis toolbox, non-stationary signal parameters estimated helpful.
23
- 机械设备发生故障时, 故障特征的提取很重要。对于多通道的设备故障振动信号, 应用非平稳信号的盲源分离算法, 可以有效地提取各自独立的非平稳振动源,从而可以准确地进行机械故障诊断。针对不同时频分布的非平稳盲源分离算法, 比较了它们的分离效果。以转子的复合故障为例, 验证了该算法在故障诊断中可行性。-Machinery and equipment failure, the fault feature extraction is very i
HHT
- 实现对非平稳信号希尔伯特黄变化的功能，多谢采纳-Hilbert Huang Transform
campbell
- 阶次分析的程序包，用于非平稳信号的特征提取。-Order Analysis package for non-stationary signal feature extraction.
tftb
- 时频分析类程序，非平稳信号分析之时频分析工具箱-Time-frequency analysis class program, non-stationary signal analysis of time-frequency analysis toolbox