搜索资源列表
sharks_1.0
- 小波分析在语音特征参数提取方面的应用,很实用，经测试！-Wavelet analysis in terms of the voice feature extraction!
xiaobotiqurenliangtuxiantezhen
- 基于matlab小波分析人脸识别的特征提取-Extraction based on wavelet analysis matlab face recognition feature
fecture
- 利用bior5.5小波对声音进行能量特征提取。小波基可以任意变换。-The sound use bior5.5 wavelet energy feature extraction. Wavelets can transform any.
xbbtzztqt
- 故障分为很多种，该程序是利用小波包把故障特征提取出来，用于判断接下来出现的情况是把一种故障-The fault is divided into many, the program is using wavelet packet to extract the fault features out, used to judge the next case to a fault
xiaobo
- 小波变换既具有时频分析特性，又具有多分辨率特性，有利于各分辨率中不同特征提取-Frequency wavelet transform analysis both properties, but also has multi-resolution characteristics conducive to the resolution of the different characteristics of each extraction
dianlanguzhang
- 电缆故障行波脉冲分析法仿真，小波分析提去噪并提取特征-Traveling wave pulse method in electric cable short circuit fault, using wavelet analysis to decline noise
wavelet-in-powersystem
- 电力系统暂态故障的六种形式仿真，小波分析去噪，提取特征-six form of Power system transient fault, using wavelet analysis
xianglingxishu
- 相邻系数引入到小波变换，用局域均值分解特征提取-Adjacent coefficient is introduced into the wavelet transform, using the local mean decomposition feature extraction
Bxiaobo3
- 小波包分解，提取能量特征，然后进行归一化处理，获取诊断信息-Wavelet Neural Network
dimensionalspectral
- 小波变换是一种线性运算 , 它对信号进行不同尺度的分解 , 可有效地应用于如 信噪分离 , 提高时频两域的分辩率等 。本文讨论小波变换用于心电 Q RS 波形中细微特征 ( 即高频成份特征 ) 提取的方法.-Wavelet transform is a linear operation, its signal is decomposed at different scales, can be effectively used as the signal to noise separat
LMDchengxu
- 采用小波相邻系数降噪，然后用改进的局域均值分解对滚动轴承进行特征提取，得到特征向量-Using adjacent wavelet coefficients of noise reduction, and then use the improved local mean decomposition characteristics of rolling bearing are extracted, get the feature vector
wave1
- 小波变换的特征提取，用于情感识别方法，基于脑电信号-Wavelet feature extraction method for emotion recognition based on EEG
Wavelet-Recognition-matlab
- 基于Yale-B和CMU-PIE 人脸库上的实验结果显示本文算法对复杂光照具有较强鲁棒性，具备提取复杂光照条件下人脸图像有效特征的能力。小波变换 特征提取 matlab仿真-Experimental results based on Yale-B and CMU-PIE face show that the proposed algorithm has a strong light on the complexity of robustness, with the extraction of
Gobor_multi_LBP
- gabor_lpb纹理结合了gabor小波和LBP的特征，提取的纹理具有很好的鲁棒性-gabor_lpb texture combines gabor wavelets and LBP features extracted texture with a very robust
WAVPENE
- 小波包分析结合能量算法实现特征信号的提取，其中还包含用于测试的轴承数据-Wavelet packet analysis combined with the energy of signal feature extraction algorithm, which also contains the data for bearing test
waveaenergy
- 此程序为小波包变换结合和能量谱分析提取特征频率-This procedure for the analysis of wavelet packet transform and energy spectrum feature extraction of frequency combination
2222112
- 小波矩特征提取，图像处理方法，再进行小波矩变换。-Wavelet moment feature extraction, image processing method, further wavelet transform moments.
25292626
- 为了实现复杂环境下的人脸特征有效表达，提出一种改进的梯度方向直方图（ＨＯＧ）人脸识别方法．首先以人脸图像网格作为采样窗口并在其上提取 ＨＯＧ特征；然后将所有网格 ＨＯＧ特征向量进行组合，实现整个人脸特 征表达；最后采用最近邻分类器进行识别．另外，比较了该方法与Ｇａｂｏｒ小波和局部二值模式（ＬＢＰ）２种著名的人脸 局部特征表示方法的优劣．实验结果表明，在调优的 ＨＯＧ参数下，在具有光照和时间环境等复杂变化的ＦＥＲＥＴ人 脸库中，较少维数的 ＨＯＧ特征比ＬＢＰ特征有更好的表现，而且 ＨＯ
gabor-texture-feature-extraction
- 利用gabor小波原理进行纹理特征提取的matlab代码，包括程序、图片、demo-gabor texture feature extraction codes
zhouchen
- 小波阈值自动选取方案去噪，并用HHT对去噪后的轴承信号进行处理，提取故障特征。-Wavelet threshold de-noising program automatically chooses, for bearing with HHT denoised signal processing, fault features.