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this file tells the user about some matlab programming and some techniques for how to use matlab

基于掌纹识别的在线身份验证 识别算法本科毕设，基于人工神经网络的常用数字信号调制，小波包分析提取振动信号中的特征频率。( Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, The commonly used digital signal modulation based on artificial neural network, Wavelet packet analysis to extract vibration signal characteristic frequency.)

matlab音乐合成，非常实用，信号与系统大作业(matlab)

说明：  扩展卡尔曼和无迹卡尔曼的matlab仿真比较。(Extended Kalman and unscented Kalman comparison of matlab simulation.)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)

Granger因果关系分析，程序可读性非常强，简洁明了。(Granger causality analysis, program readability is very strong, concise and clear.)

找到一个矩阵里的最小值,因而找到最小值很容易的(find a min number in a matrix,so you can get it essay)

展示一个定积分的数值,图中阴影区域显示了当前的子区间与子区间积分,颜色切换到绿色得到准确性.(Demonstrate numerical evaluation of a definite integral. The shaded area shows the integral over the current subinterval. The color switches to green when the desired accuracy is obtained.)

1) 以身高为例，画出男女生身高的直方图并做对比； 2) 采用最大似然估计方法，求男女生身高以及体重分布的参数； 3) 采用贝叶斯估计方法，求男女生身高以及体重分布的参数（假定方差已知，作业请注明自己选定的一些参数情况）； 4) 采用最小错误率贝叶斯决策，画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生？为(178,70)时呢？(1) taking height as an example, draw the histogram of male and female students and compare them; 2) the maximum likelihood estimation method was used to calculate the height and weight distribution parameters of male and female students; 3) using Bayesian estimation method to find the parameters of height and weight distribution of male and female students (assuming the variance is known, please indicate some of the parameters selected by the job); 4) using the minimum error rate Bayes decision, draw the decision surface of category decision. And determine the height and weight of a sample respectively (160,45), should belong to the boys or girls? What about (178,70)?)

说明：  完全自主实现的神经网络代码，对于深刻理解神经网络和BP算法很有帮助。(The neural network code, which is implemented autonomously, is very helpful for us to deeply understand the neural network and BP algorithm.)