adaptive-control

matlab的图像教程，很好的资料，有很多例子(matlab image tutorial, good information, there are many examples)

在Matlab中利用傅里叶变换求解波动方程，快速简便(Fourier transform to solve the wave equation in Matlab, quick and easy)

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 )

实现matlab仿真生成ofdm系统，但不涉及信道估计等内容(Matlab simulation ofdm achieve generation systems, but does not involve channel estimation, etc.)

数值分析中常用的高斯迭代和雅克比迭代例程，值得参考。(Commonly used in numerical analysis and the Jacobi iterative Gauss iterative routines, worth considering.)

基于matlab的相场模拟程序，希望对各位有所帮助，如有不对，还请批评指正(Matlab-based phase field case, you want to help, if wrong, criticism and)

说明：  压缩感知算法，里面有大量压缩感知训练算法(AMP1235675432134564321)

基于matlab的自相关提取基频算法（结合了带通滤波，三电平削波）(Autocorrelation matlab-based fundamental frequency extraction algorithm (a combination of band-pass filter, three-level clipping))

关于matalb 中的plot 绘图函数 绘出美观好看的效果(The plot on the matalb mapping function to map the effects of good-looking appearance)

周期图法实现白噪声背景下的正弦函数功率谱估计,其中的傅里叶变换和谱估计的步骤都是直接写出,没有调用函数(Periodogram method the sine function in the white noise power spectrum estimation, one of the Fourier transform and spectral estimation steps are to write, not call the function)