cdma

用于离散信号的盲反卷积，主要针对一维离散信号，可以进行二维扩展。(Discrete signals for blind deconvolution, mainly for one-dimensional discrete signal can be extended to two-dimensional.)

说明：  基于matlab的图像k均值算法，实现对一副彩色图像进行分割。(Matlab image based on k means algorithm, to realize a color image segmentation.)

svm预测时间序列，源码在txt文件里，需要的请自行输入到MATLAB里实现(svm time series forecasting, source code in txt file, need to enter on their own to achieve in MATLAB)

时间序列数据分析中的梅林变换工具，可以广泛的应用于数据预测及数据分析,利用最小二乘法进行拟合多元非线性方程。( Time series data analysis Mellin transform tool, Can be widely used in data analysis and forecast data, Multivariate least squares fitting method of nonlinear equations.)

kalman滤波，扩展的kalman滤波（EKF），unscented Kalman filter（UKF），基于EKF和UKF混合模型的IMM实现，以及配套的Rauch-Tung-Striebel和two-filter平滑工具，一个很好用的框架(Kalman filtering, extended Kalman filtering (EKF), unscented Kalman filter (UKF), IMM implementation based on EKF and UKF hybrid models, and supporting Rauch-Tung-Striebel and two-filter smoothing tools, a very useful framework)

Metropolis sampler for Mallows model samples orderings from a distribution over orderings

数值分析及其matlab实现，任玉杰著。给出了每一种数值方法的matlab实现(Numerical analysis and matlab to achieve, Ren Yujie book. Each is given a numerical methods matlab to achieve)

Introduction to MATLAB and Simulink Third Edition

eigenvalue decomposition

说明：  核主成分分析方法是将主成分分析方法与核方法的有机融合，核心思想是通过引入核方法将输入空间的数据映射到特征空间，并在特征空间进行主成分分析，实现降维与提取非线性数据特征的双重目标。(The kernel principal component analysis (KPCA) is an organic fusion of principal component analysis (PCA) and kernel method. The core idea is to map the data from input space to feature space by introducing the kernel method, and carry out principal component analysis in feature space, so as to achieve the dual goals of dimensionality reduction and feature extraction of nonlinear data.)