搜索资源列表
Time-Frequence
- 该程序是盲源分离算法中时域—频域分离算法,该算法应用范围广泛。-The procedure is blind source separation algorithm in time domain- the frequency domain separation algorithm, which a wide range of applications.
stestandst
- S变换的matlab源码,并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容,现在在信号处理,地震勘探,语音识别等领域都开始了对它的应用研究,是目前的一个热点。-S transform matlab source, and apply some signal as an example to illustrate how to use s and s transform transform can be used to do thing
nspab
- 最新版计算三维HHT时频图的M文件,很有用-HHT the latest version of the calculation of three-dimensional time-frequency map M files, very useful
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- HHT时频分析方法的研究与应用 HHT时频分析方法的研究与应用-hht
TFBSSpack
- TFBSS是一种基于短时傅里叶时频分析的盲源分离算法,算法基于卷积混合。处理非平稳源信号。-TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated
TFBSSpack
- 一种基于短时傅里叶时频分析的盲源分离算法,算法基于卷积混合。处理非平稳源信号。-Short Time Fourier based time-frequency analysis of blind source separation algorithm, hybrid algorithm is based on convolution. Handling non-stationary source signals.
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- 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 important. Failure vibration si
ICA和时频方法进行声源定位
- ICA和时频方法进行声源定位的matlab程序,含源程序及介绍,调用主程序即可。
tf_ubss
- 基于时频分析的欠定盲源分离算法,其中用到联合对角化的算法以及理论-Blind source separation algorithm based on time-frequency analysis due to which the use of algorithms and theory of joint diagonalization
Matlab-good-fsino
- 一个使用空间时频分布进行盲信号分离的Matlab程序,不错的源码-A space using the time-frequency distribution of fanaticism, separation of Matlab, a good source
gooqsource
- 一个使用空间时频分布进行盲信号分离的Matlab程序,不错的源码(A space using the time-frequency distribution of fanaticism, separation of Matlab, a good source)