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通过时频转换法来，来画BPSK巴克码的模糊函数，tao（时延）切面，fd（多普勒频移）切面。以及其模糊度图的画法(Through the time-frequency conversion method to draw Barker code BPSK ambiguity function, tao (delay) section, fd (Doppler shift) section. And its ambiguity diagram drawing)

a toolbox for GPLAB for matlab codes

pso算法求解多维矩阵的matlab程序(pso algorithm matlab program for multi-dimensional matrix)

MATLAB程序设计，M文件，程序控制结构，函数文件，程序举例，程序调试(MATLAB programming, M files, program control structures, functions, files, programs, for example, debugging)

掛恅璃標腔最唗岆價衾LeventCodes 怢釬腔﹝ 婦嬤眕狟源楊ㄩ BivaShrink源楊﹜耀倰1﹜耀倰2﹜耀倰3ㄗTrivaShrink源楊ㄘ﹜BayesShrink源楊﹜ LAWMLShrink源楊腔DWT妗珋睿DT_CWT妗珋﹝ (Standard text linked cavity glass唗Did the price of quilt filler cavity LeventCodes  ﹝怢Here' s the source of women' s mamma BivaShrink source Yang Yang To:倰1)) Yiu Yiu Yiu倰2) TrivaShrink source倰3 ㄗ ㄘ Yang Yang) BayesShrink source) LAWMLShrink source Yang Rui珋cavity DWT wife of mother' s brother wife of mother' s brother DT_CWT ﹝珋)

描述了化学元素对钢的性能的影响，值得一看，这是别人的资料(Description of the chemical elements in the performance of steel)

这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，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。 调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，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。 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”，调用最小错误率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，就可以得到不同先验概率条件下错误率的统计。 (This is the minimum error rate pattern recognition Bayes classifier design. Self- improvement prior probability in different 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 third step is to 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 . Call the minimum error rate decision Functions Bayesian)

一篇基于matlab设计基本的FIR滤波器的文章。一篇基于matlab设计基本的FIR滤波器的文章(Matlab-based design of a basic FIR filter article. Matlab-based design of a basic FIR filter paper)

lanczos算法用来计算大型稀疏矩阵的最大最小本征值及相应的本征矢量。(lanczos algebra is used to calculate the maximum and minimum eigenvalue and eigenvector of the matrix)

简单约束的优化算法，入门学习的简单程序,简单约束的优化算法，入门学习的简单程序,(Simple constrained optimization algorithm, started to learn the simple procedure)