gaojiepu

AHP toolbox AHPCALC Perform a complete AHP calculation. AHPHIER One-step hierarchical assembly of AHP weighting vector. AHPREORDER Internal reordering function called by AHPCALC. AHPVECTOR Calculate the AHP ranking or weighting vector from an AHP reciproal matrix. AHPMAKEMAT Turn a vector of comparisons into an AHP reciprocal matrix. Copyright (C) 2001 Michael J. Scott

分类线不过原点的2维两类不可分样本的分类分类线不过原点的2维两类可分样本的分类,还有些课件.(classification lines origin can not be two types of two-dimensional samples of the sub-classification classification line but the origin can be divided into two types of two-dimensional samples classification, some courseware.)

这是一些模糊控制的相关模块，希望对大家有用(These are related to fuzzy control module, want to be useful)

切比雪夫滤波器，可以很好的实现滤波功能。(Chebyshev filter, can achieve very good filtering.)

高斯独立同分布的mimo信道环境下，对协方差矩阵R的个元素的概率密度函数的统计(PDF of R under Quess Channel)

说明：  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 filter (EKF), unscented Kalman filter (UKF), based on the EKF and UKF realize mixed-model IMM as well as ancillary Rauch-Tung-Striebel and two-filter smoothing tool, a very good framework to use)

有序样品的最优分割程序。本程序优点在于分类齐全，使用方便、直观。供大家学习参考。(ordered the optimal sample segmentation procedures. The classification process is complete advantages, easy to use, intuitive. We reference for the study.)

Its all belongs to the beginners who loves to do projects or research in matlab

用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )

非常详细的matlab常用函数介绍 对matlab菜鸟来说 绝对的好(Matlab very detailed introduction to the matlab function commonly used is absolutely a good rookie)