GDOP_6_CC

说明：  matlab函数大全，2003，挺有用的(matlab function Daquan, 2003)

matlab2010经典教程,对matlab编程人员有很大的帮助。(matlab2010 classic tutorial matlab programmer a lot of help.)

利用最优信息二分割法分析变异点，用于水文计算，流量、降雨等(Optimal information two split method of analysis of variance points)

matlab的使用命令大全，可以在做matlab开发的时候给与很好的帮助(the use of matlab command Daquan, you can do matlab developed a good time to give help)

Multi-block Methods for Exploratory Data Mining in Food Technology

Encoding/Decoding for 1D arrays of 8 or 16bit unsigned integers

说明：  matlab进行PID控制的仿真源程序 包括simulink仿真(matlab source code for simulation of PID control, including simulink simulation)

用Viterbi algorithm筛选经过含白噪声的信息。equalizer为采用Viterbi algorithm，有效减少ISI(码间串扰)，detector为简单的检验器。对比两者的误码率。信息数量为10001bit(using Viterbi algorithm method selecting the data. compared with simple detector. data length are 10001bits. Viterbi algorithm can reduce the affect of ISI （intersymbol interference）)

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )

image smoothening algorithm matlab source code