搜索资源列表
Wavelet
- 实现小波变换，对实采数据进行进行处理，挖掘数据特征-Wavelet transform of real data mining processing, data mining feature
mome_kmean_wavelet4
- 其中包括颜色矩特征提取，四层小波特征提取以及kmeans聚类算法，Matlab编程实现，希望对学习有帮助-Including the extraction of color moment feature, the four layer wavelet feature extraction and kmeans clustering algorithm, Matlab programming, and they hope to help with learning
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
gaborWavelet
- gabor wavelet feature for color images
haar
- 关于小波变换学习的一些源代码，提取小波特征-some of the source code of wavelet transform ，extract haar wavelet feature
paper3
- Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction
gaborWavelet
- matlab code for gabor wavelet feature extraction
Wavelet-packet-feature-extraction
- 这是一个对信号进行小波包特征量提取的程序源代码，对初学者有帮助-This is a signal wavelet packet feature amount extraction program source code, for beginners help
Gabor-Feature
- gabor小波变化的实现，用于数字图像处理中Gabor特征的完全提取。自己项目中已经用到了。-Achieve gabor wavelet transform for digital image processing totally Gabor feature extraction. Himself has used the project.
feature-points-detection--
- 对ECG信号采用小波变换法去除基线漂移，并进行特征点（峰值）的检测。有MATLAB调试实例-ECG signal using wavelet transform method to remove the baseline drift, and the detection of feature points (peak). There are instances of MATLAB debugging
Gabor
- Gabor小波提取特征源码，支持向量量机作分类器，能用于掌纹，人脸，指纹识别。-Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used to palmprint, face, fingerprint identification.
Wavelet-Transform-and-Neural-Network
- 为保障安全与电力用户供电质量，基于并网逆变器的分布式发电(distributed generation DG)系统要求具备孤岛检测功能。针对被动式孤岛检测法检测盲区(non-detectionzone，NDZ)大、检测时间长以及主动式孤岛检测法影响分布式发电系统供电质量的缺点，提出了一种新的被动式孤岛检测方法。该方法利用小波变换从公共耦合点(point ofcommon coupling，PCC)处的电压信号及逆变器输出电流信号中提取特征量，再通过BP 神经网络进行模式识别来判断是否出现孤岛现象
Improved-wavelet-packet
- 改进的小波包特征熵，经本人试用，完全能够求解特征熵-Improved wavelet packet feature entropy, by my trial, fully able to solve the feature entropy
Wavelet-Packet
- 基于混合信号的小波包分解技术在故障特征提取中的应用-Feature Extraction Using Multisignal Wavelet Packet Decomposition
Wavelet-Packet
- Driver Drowsiness Classification Using Fuzzy Wavelet Packet Based Feature Extraction Algorithm
ilplement-prefix-set
- 将原始语音经过预处理,利用频率弯折小波进行特征提取,不错的源码-The original speech after preprocessing, the use of frequency bending wavelet feature extraction, good source
6055343
- 将原始语音经过预处理,利用频率弯折小波进行特征提取,不错的源码(The original speech after preprocessing, the use of frequency bending wavelet feature extraction, good source)
DWTEA
- 提取小波系数包络特征，首先采用离散小波变换，提取小波系数后选取运动想象脑电相关子带，再用希尔伯特变换提取包络特征(Feature extraction of wavelet coefficients)
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- In order to account for the rapidity of visual processing, we explore visual coding strategies using a one-pass feed-forward spiking neural network.We based our model on the work of Van Rullen and Thorpe, which constructs a retinal representation