-
SegMCA
形态成分析(MCA)用于图像分割与去噪的实验代码(Form into analysis (MCA) for image segmentation and denoising experimental code)
- 2013-06-13 11:23:42下载
- 积分:1
-
MatlabPWavelet-packetP-harmonics
应用Matlab进行小波包对时变谐波分析的代码(Matlab Applications for wavelet packet on time-varying harmonic analysis)
- 2013-08-12 21:20:49下载
- 积分:1
-
Matlab和C++编写的傅立叶变换程序源代码
(1)用MATLAB开发的傅立叶变换以及逆变换的一个例子,测试通过无误。(2)C++编写的傅立叶以及逆傅立叶变换程序源代码,测试通过。((1) Using MATLAB development of the Fourier transform and inverse transform an example of the test correct. (2) C++ and inverse Fourier Fourier transform source code, test.)
- 2005-04-25 11:06:29下载
- 积分:1
-
ridge
本人自己编写的小波变换脊提取程序,可用与信号分析.欢迎指导.(I have written wavelet transform ridge extraction procedures, can be used with the signal analysis. Welcomed the guidance.)
- 2021-01-05 17:18:53下载
- 积分:1
-
xinhaochuli
信号处理小波分析
1)计算信号的小波变换。
2)求出模极大曲线。
3)计算其中两个奇异点的Lipschitz指数。
(Signal processing wavelet analysis 1) the calculation of wavelet transform signals. 2) calculated curve of modulus maxima. 3) the calculation of which two singular points of Lipschitz index.)
- 2021-01-29 12:58:40下载
- 积分:1
-
wnn_forcast
用小波神经网络变换对时间序列信号进行预测,并做了测试,效果很好,请参考(Transform using wavelet neural network to predict the time series signal, and do a test with good results, please refer to)
- 2009-09-24 17:41:18下载
- 积分:1
-
Pisarenko_music_esprit
分别用Pisarenko谐波估计法、MUSIC算法和ESPRIT算法对三正弦叠加高斯白噪声信号源进行频率估计,附件中有代码说明,编译环境为matlab。(Respectively Pisarenko harmonic estimation, MUSIC algorithm and the ESPRIT algorithm superimposed on the three sine Gaussian white noise signal source for frequency estimation, in the annex to the code description, the compiler environment matlab.)
- 2021-03-24 15:09:14下载
- 积分:1
-
suanfa
AR过程的线性建模的Burg算法参数估计m文件(Burg method for AR processing)
- 2012-01-18 21:19:12下载
- 积分:1
-
fsp_wavelet
希尔伯特变换法提取零相位子波的小程序,很好用!!(Hilbert transform method to extract the zero-phase wavelet procedure, easy to use! !)
- 2012-03-05 20:11:06下载
- 积分:1
-
ECG
心电信号分析
(1)设计滤波器,实现对心电信号的噪声抑制和基线纠漂。
(2)时域分析:R波检测算法与实现.
(3)功率谱分析:对消噪后的信号进行功率谱分析。要求计算信号的功率谱,功率谱峰值,峰值频率。
(ECG Analysis (1) design filters to achieve noise suppression of ECG and baseline drift correction. (2) time-domain analysis: R-wave detection algorithm and implementation (3) The power spectrum analysis: noise cancellation signal after the power spectrum analysis. Require calculation of the signal power spectrum, peak power spectrum, peak frequency.)
- 2020-12-10 20:39:18下载
- 积分:1