montecarlo

利用matlab的数据处理和数据模拟功能，模拟光的反射，光的折射，以及光的透射，并且生成模拟曲线，可以直观的观察到光功率和相关参数的变化关系(Use of matlab data processing and data simulation function, simulation light reflection, the refraction of light, and light transmission, and generate simulation curves can be intuitive observed light power and related parameters change relations)

异步电机矢量控制模型，包裹调速等 (Vector control induction motor model, speed control, such as parcel)

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，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，放入决策数组中。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Bayesian classifier )

this simulation of motor

基于互功率谱的时延估计，是信号处理的基础，信号维数的估计。( Based on the time delay estimation of power spectrum, Is the basis of the signal processing, Signal dimension estimates.)

联合CMA+DDLMS盲均衡算法的研究，两种模式的结合达到了更好的效果(Joint CMA+ DDLMS blind equalization algorithm, a combination of two modes to achieve better results)

Image Enhancement for enhancement the image by using the digitneg for enhancement the image by using the digitneg

direct sequence spread spectrum technology for secure data tranfer

幂律分布的matlab工具箱，幂律的检验和数据序列的绘图。非常好用(Matlab Tool of Pow law distribution, determination and plot)

按照《双色球EXCEL全攻略》用matlab重写的双色球统计程序。(A lottery Predicting program developed with matlab.)