搜索资源列表
PCA
- 完全用C++实现的PCA算法，可以用于实际工作和学习中-Entirely in C++ implementation of the PCA algorithm can be used for practical work and learning
PLS_Toolbox21
- PLS_Toolbox是用于故障检测与诊断方面的matlab工具箱，包括PCA、PLS等多种算法，以及包括后续的处理工作：Q统计、T2统计等等。-PLS_Toolbox for fault detection and diagnosis of matlab toolbox, including PCA, PLS and many other algorithms, as well as follow-up treatment, including the work of: Q statistic
MATLABforGUIdesign
- 介绍了一种荃于MATLAB数字信号处理工具箱、MATLAB数据分析和MATLAB圈形对 象的时变数字信号瞬时频率枯计方法。这种方法利用时频分析结果来估计信号的麟时频率，其 中涉及时频分析、滤波、曲线拟合辞多种处理过程。处理过程的编程实现封较于用户界面上作 为文互工具的控件中，由用户通过交互界面逐步完成估计瞬时预率的工作.-Tsuen introduced a digital signal processing in the MATLAB toolbox, MATLAB and MAT
work
- 该算法实现了ICA,PCA的过程监测及故障诊断-The algorithm of the ICA, PCA in process monitoring and fault diagnosis
ruqinzhejiance
- 主要完成的工作是在监控的场景中检测出运动的物体，去除干扰的背景，只留下感兴趣的目标即目标提取。目标提取,运动信息提取,PCA和诊间差分方法。-The major work done to monitor the scene in the moving objects detected, remove the background interference, leaving only the object extraction target of interest. Object extracti
work
- 简单的用PCA实现人脸识别的matlab程序-Face recognition using PCA to achieve
ECG
- The early detection of arrhythmia is very important for the cardiac patients. This done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different typ
feature_reduction
- this code reduce the dimentional of feature space using combine sparse matrix+PCA for classification eeg signal. more detail exixst inside the code. this code tested and work properly
ICAtoolbox3_8
- Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where
PCA-and-whitening
- 基于PCA和白化的数据预处理操作，PCA具有两个功能：维数约减和数据可视化；白化的目的是去掉数据之间的相关性。深度学习的一个主要工作就是数据的预处理-Based on PCA and data pre-whitening operation, PCA has two functions: dimensionality reduction and data visualization whitening purpose is to remove the correlation between t