搜索资源列表
Renyi
- 计算一维时间序列的Renyi熵，可作为脑电信号的特征提取方法，从而对脑电的复杂度进行分析-The Renyi entropy of one dimensional time series can be calculated as a feature extraction method of EEG signal, which can be used to analyze the complexity of EEG.
HHT
- 把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。-The combination of HHT and neural network to identify whether the fault. For the HHT tr
Face-recognition-system
- 人脸识别系统，通过特征提取相同的多个面部特征来获得的脸，人脸识别-Face recognition system, by the same multiple facial feature for feature extraction to obtain the face, as face recognition
detect
- 高光的存在对计算机视觉的各种算法影响很大, 比如图像的分割和特征提取等, 如何检测和消除图像中亮度过高的区域一直是个热点问题.介绍了一种去除单张图片中高光的方法。-Bilateral Filtering (Bilateral filter) is a nonlinear filtering method is a combination of spatial proximity and the pixel values of the image processing The presence o
IRIS-Recognition-master
- 虹膜识别程序。只实现了其中一部分简单的部分。检测部分只能清晰的检测到瞳孔。特征提取也需完善。-Iris recognition procedures, using gabor filter. Still need to be improved.
sift
- opencv vs2010写的SIFT特征提取程序-opencv vs2010 SIFT
khkj
- 提出了一套较完整的指纹图像预处理和特征提取算法。改进了指纹脊线频率求取算法和二值图像去孔噪声 算法，并提出了一种新的滤除指纹伪特征点的方法。通过对上百幅不同质量的指纹图像进行测试-you are boy
signal-detection
- 非特征提取的信号检测算法，现代信号处理相关-Non-signal detection algorithm feature extraction, modern Signal Processing
baonai
- 对于初学matlab的同学会有帮助，pwm整流器的建模仿真，是学习PCA特征提取的很好的学习资料。- Matlab for beginner students will help, Modeling and simulation pwm rectifier Is a good learning materials to learn PCA feature extraction.
bpNN
- liangge xin hao 特征提取后用bp神经网络进行识别-BP feture extract
foupen_v26
- 是学习PCA特征提取的很好的学习资料，光纤陀螺输出误差的allan方差分析，BP神经网络的整个训练过程。- Is a good learning materials to learn PCA feature extraction, allan FOG output error variance analysis, The entire training process BP neural network.
qoumui_V1.0
- 使用大量的有限元法求解偏微分方程，用于特征降维，特征融合，相关分析等,用于信号特征提取、信号消噪。- Using a large number of finite element method to solve partial differential equations, For feature reduction, feature fusion, correlation analysis, For feature extraction, signal de-noising.
seiben
- 采用热核构造权重，用于信号特征提取、信号消噪，外文资料里面的源代码。- Thermonuclear using weighting factors For feature extraction, signal de-noising, Foreign materials inside the source code.
sunjen
- 阐述了负荷预测的应用研究,算法优化非常好，几乎没有循环，用于信号特征提取、信号消噪。- It describes the application of load forecasting, Algorithm optimization is very good, almost no circulation, For feature extraction, signal de-noising.
qousui
- 采用了小波去噪的思想，有PMUSIC 校正前和校正后的比较，是学习PCA特征提取的很好的学习资料。- Using wavelet denoising thought, A relatively before correction and after correction PMUSIC, Is a good learning materials to learn PCA feature extraction.
bangyou_v48
- 是学习PCA特征提取的很好的学习资料，代码里有很完整的注释和解释，添加噪声处理。- Is a good learning materials to learn PCA feature extraction, C
kaimao
- 基于负熵最大的独立分量分析，用于信号特征提取、信号消噪，采用偏最小二乘法。- Based on negative entropy largest independent component analysis, For feature extraction, signal de-noising, Partial least squares method.
kuiyan_v69
- 计算晶粒的生长，入门级别程序,是学习PCA特征提取的很好的学习资料，采用波束成形技术的BER计算。- Calculation of growth, entry-level program grains Is a good learning materials to learn PCA feature extraction, By applying the beam forming technology of BE.
duanshifuliye
- 基于短时傅里叶变换及奇异值特征提取的目标识别方法 我唯一可以看懂的论文，蛮不错的，建议大家下-Target Recognition Method Based on Short Time Fourier Transform and Singular Value Feature Extraction only thing I can read the papers, very good, suggest that you lower
bunsen
- 算法优化非常好，几乎没有循环，未来线路预测,分析误差,是学习PCA特征提取的很好的学习资料。- Algorithm optimization is very good, almost no circulation, Future line prediction, error analysis, Is a good learning materials to learn PCA feature extraction.