搜索资源列表
ica_demo
- 独立分量分析旨在对独立信源产生且经过未知混合的观测信号进行盲分离，从而重现原独立信源，其应用主要集中在盲源分离和特征提取两方面-Independent component analysis is designed to blind separation and after the unknown mixture of observed signals, which reproduce the original independent source independent source, its
ICA
- ICA独立成分分析对信号进行特征提取，盲源分析保留有用信号通道-ICA independent component analysis for signal feature extraction and blind source analysis to preserve the desired signal channel
principal-component-analysis
- 主成份分析在模式识别中是一种特征提取方法！-a very important technique feature extraction in pattern recognazition
signal-features
- 一篇英文文献，通过特征提取的方法实现通信信号的调制方式识别。-An English literature, communication signal modulation recognition by feature extraction methods.
biosig4octmat-2.81.tar
- 最新版的biosig4octmat程序，适用于EEG信号的特征提取和分类，以及分类器的性能评价-The the the latest version biosig4octmat program applies to EEG signal feature extraction and classification, and the performance evaluation of the classifier
Particle-Swarms
- 粒子算法，特征提取，比较详细的文献解释。-Particle algorithm, feature extraction, and a more detailed interpretation of the literature.
Estimation-crowd-density
- 本文提出了一种基于小波变换与灰度共生矩阵的人群密度特征提取方法，进而利用支撑向量机实现人群密度级别的估 计。实验结果表明本文提出的方法是可行的。-In this paper, based on population density characteristics of the wavelet transform and GLCM extraction method, and then using the support vector machine to estimate the crowd
FisherFace
- Fisherface方法的实现是在PCA数据重构的基础上完成的，首先利用PCA将高维数据投影到低维特征脸子空间，然后再在这个低维特征脸子空间上用LDA特征提取方法得到Fisherface。程序中使用参数寻优的方法来寻找最佳投影维数，以达到比较理想的识别效果。-The Fisherface method implemented in the PCA data reconstruction based on the completion of the first use of PCA project
s2
- 基于KL变换的特征提取 用KL变换进行模式识别 -KL transform pattern recognition based on KL transform feature extraction
s-t
- 广义s变换，用于电能质量扰动信号分析的特征提取和识别-Generalized s transform for power quality disturbance signal analysis, feature extraction and recognition
lbp
- 一个LBP程序，可供后期特征提取，分类 是学习LBP的好资料-An LBP program for post-feature extraction, classification is good information to learn LBP
sparsePCA
- 稀疏主成分分析算法，用于特征提取，维数约简。-Sparse Principle Component Analysis for feature extraction
TensorLPP
- 基于张量的局部保持投影算法，用于特征提取，维数约简。-Tensor based Locality Preserving Projection for feature extraction
DLA
- 基于分片重排列技术的维数约简方法，用于特征提取。-Patch Alignment for Dimensionality Reduction，IEEETrans.，2009.
local_features
- 图像局部不变量特征提取和描述子，pdf文档-Local invariant feature extraction and descr iptor, pdf documents
FeatureExtractionFromPointClouds
- 点云特征提取 详细 实用 经典的讲述过程及方法-Point Cloud Feature Extraction practical details about the processes and methods of classic
ECG-classification
- 心电图是一种经胸腔的以时间为单位记录心脏的电生理活动，并通过皮肤上的电极捕捉并记录下来的诊疗技术，能警示人体心脏健康状况。我们对十种不同心脏状况的心电图（ECG）数据进行实验，在对原始数据进行了一系列预处理后，利用PCA和ICA进行特征提取降维得到新的特征空间，并利用支持向量机进行训练，最后对未分类心电数据进行分类标记并评价其性能。-Electrocardiography (ECG) is a transthoracic interpretation of the electrical acti
finalmatlab
- 用matlab分类星云文件，使用SVM方法，包括特征提取和分类，有完整的成俗和数据-Category nebula with matlab file using SVM methods, including feature extraction and classification, and data integrity into vulgar
Sample-entropy-calculation
- 计算样本熵值程序，可实现故障信号特征提取，复杂度-Sample entropy calculation procedure can achieve signal feature extraction
SOM-neural-network
- SOM神经网络，可以进行特征提取和模式分类，特别是特征维数较多的情况-Situation SOM neural network, can feature extraction and pattern classification, especially more characteristic dimension