搜索资源列表
gabor_texture
- gabor小波图片纹理特征提取，MATLAB编码，效果不错！-gabor wavelet image texture feature extraction, MATLAB code, good results!
pinyu
- 用小波系数提取出音频的频域特征。比如lpc等特征。效果好！-Extracted using wavelet coefficients of the frequency-domain characteristics of the audio. Characteristics such as LPC. Good!
featureextraction
- 利用MATLAB实现一维信号时间序列的，特征提取，其中包括ICA和基于小波包的方法。-Use MATLAB to achieve one-dimensional time series signal, feature extraction, including the ICA and the method based on wavelet packet.
gabor_3
- Gabor小波提取特征一幅输入的图形进行特征提取基于gabor小波变换 -Gabor wavelet feature extraction of an input graphics gabor feature extraction based on wavelet transform
wavlet2d
- 对于一幅输入的图形进行特征提取基于gabor小波变换-For an input graphics gabor feature extraction based on wavelet transform
VFDT
- 小波对信号进行多分辨率分析，提取信号特征-Wavelet multi-resolution signal analysis, signal feature extraction
pcalda
- 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
wavepp
- 利用小波进行一级特征提取，在此基础上采用2dpca进行二级特征提取，用于人脸识别。-Carried out a wavelet feature extraction, in this based on the use of 2dpca for two feature extraction for face recognition.
1
- 三篇关于小波变换的文章，主要用在故障诊断领域的主要利用小波变换来提取故障特征。（本文档需要用CAJViewer打开）-Three articles on the wavelet transform, is mainly used in the field of fault diagnosis using wavelet transform to extract the main fault feature. (This document will need CAJViewer open)
Untitled
- 利用小波变换实现对故障信号的特征提取 构造特征向量-Wavelet transform feature extraction of fault signals structural feature vector
Gabor
- 使用Gabor小波对图像进行特征提取，代码可以直接使用-Using the Gabor wavelet feature extraction, the code can be used directly
xsj
- 基于小波变换的碰磨故障信号的特征提取，可以画出信号原图，轴心轨迹，频谱图以及多层小波变换的重构信号-Based on wavelet transform rubbing fault signal feature extraction, the signal can be drawn artwork, orbit, spectrum and signal reconstruction wavelet multi-
locationP_QRS_T
- 基于小波变换的心电信号预处理 和PQRST波特征提取-PQRST wave of ECG preprocessing and feature extraction
Moracevasobel
- 车辆特征提取 小波轮廓检测和Moracev焦点检测的功能融合-Vehicle contour detection and feature extraction of wavelet features Moracev focus detection integration
小波分解+MSE熵+特征提取
- 通过小波四层分解，获取脑电信号的四个波形，之后运用多变量多尺度熵计算综合MMSE，为脑电信号识别做基础(After four layers of wavelet decomposition, four waveforms of EEG signals are acquired, and then the MMSE is calculated by using multivariable and multi-scale entropy, which is the basis of EEG reco
matlab代码_小波矩特征提取
- 小波变换，小波矩特征提取方法，特别好用，注释清楚(Wavelet transform, wavelet moment feature extraction method, particularly easy to use, annotated clearly.)
小波包能量谱
- 用于信号特征提取，提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)
双树复小波分解+特征提取+输出Excel
- 运行小波变换对图像进行处理分析，包括去噪纹理提取等(Running wavelet transform to process and analyze image, including denoising texture extraction, etc.)
轴承特征提取
- matlab代码，轴承特征提取，包括rms、最大幅值、峰值因子、绝对平均值、平均值、峭度、脉冲因子、裕度因子、能量，小波包、经典模态分解等特征(Matlab code, bearing feature extraction, including rms, maximum amplitude, crest factor, absolute mean, mean, kurtosis, pulse factor, margin factor, energy, etc.)
基于多信号小波变换分解的特征提取
- 实现对振动信号的小波变换分解的特征提取。(The wavelet transform decomposition of vibration signal is realized to extract its features.)