搜索资源列表
jenggan
- wolf 方法计算李雅普诺夫指数,有小波分析的盲信号处理，gmcalab 快速广义的形态分量分析。- wolf calculated Lyapunov exponent, There Wavelet Analysis Blind Signal Processing, gmcalab fast generalized form component analysis.
fenhao
- Gabor小波变换与PCA的人脸识别代码，GPS和INS组合导航程序，gmcalab 快速广义的形态分量分析。- Gabor wavelet transform and PCA face recognition code, GPS and INS navigation program, gmcalab fast generalized form component analysis.
yantang
- matlab小波分析程序，空间目标识别，采用PM算法，gmcalab 快速广义的形态分量分析。- matlab wavelet analysis program, Space target recognition algorithm using PM, gmcalab fast generalized form component analysis.
kengben
- 最小均方误差（MMSE）的算法，gmcalab 快速广义的形态分量分析，基于小波变换的数字水印算法matlab代码。- Minimum mean square error (MMSE) algorithm, gmcalab fast generalized form component analysis, Based on wavelet transform digital watermarking algorithm matlab code.
saijie_v24
- gmcalab 快速广义的形态分量分析，有小波分析的盲信号处理，LZ复杂度反映的是一个时间序列中。- gmcalab fast generalized form component analysis, There Wavelet Analysis Blind Signal Processing, LZ complexity is reflected in a time sequence.
genliu
- 采用了小波去噪的思想，采用的是脉冲对消法，gmcalab 快速广义的形态分量分析。- Using wavelet denoising thought, It uses a pulse of consumer law, gmcalab fast generalized form component analysis.
shang_xishu2_ca
- 对信号求功率谱熵、相关系数，并与形态虑波器结合，找去最近结构元素长度(The power spectrum entropy and correlation coefficient of the signal are used to find the recent structural element length)
故障诊断
- 采用时域、频域、FFT小波变换及数学形态等分析方法完成对滚动轴承的故障诊断(Fault diagnosis of rolling bearing is completed by using time-domain, frequency domain, FFT wavelet transform and mathematical morphology.)
guzhang
- 故障诊断课程设计，电机轴承故障诊断，FFT，Haar小波分析,时域分析，数学形态分析等(Fault diagnosis curriculum design, motor bearing fault diagnosis, FFT, Haar wavelet analysis, time domain analysis, mathematical morphology analysis, etc.)
形态滤波降噪
- 采用形态滤波器去除噪声，分别采用eemd、形态滤波器小波去噪等方法去噪，并对比(choose Morphology filters for analyzing roller bearing fault signal, and compared to the EMD EEMD WT METHODES)