dcv

对时间序列或者信号进行fft谱分析，可以打开任意数据文件后分析，很方便使用。(FFT transfer of matlab code,it is useful for signal analysis.)

这是关于MATLAB入门学习的电子资料，分享给大家(This is the electronic information on entry MATLAB learning for everyone to share)

利用matlab进行图像处理后，水印提取(matlab)

说明：  演示方向图乘积定理，可以让你清晰地看明白成绩定理的过程(yan shi fang ixang tu cheng ji ding li)

模式识别经典书籍，模式识别工具书必备之一(Pattern Classification CH)

infinite impulse response filters (IIR).. included LPF,HPF, BPF and BSF.. both butteworth and chebyshev..

multi uav path planning for 2D

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

全称为Ensemble Empirical Mode Decomposition (集合经验模分解)(Wu and Huang, 2009)，是EMD（经验模分解）(Huang et al. 1998 Huang and Wu, 2008)的改进算法，有效的解决了EMD的混频现象。 (Called the Ensemble Empirical Mode Decomposition (a collection of empirical mode decomposition) (Wu and Huang, 2009), EMD (empirical mode decomposition) (Huang et al 1998 Huang, and Wu, 2008) improved algorithm, the effective solution of EMDmixing phenomenon.)

ROBOTICA I, simple cod to matlab robotic