Buck__converter

信号与系统第二版清华大学出版社课后习题编程答案(Signals and Systems, Tsinghua University Press, second edition programming after-school exercise answer)

boltzman implement with matlab

为MFCC的MATLAB程序，用于语音识别结束的特征参数提取(MFCC)

关于机器学习的matlab范例，最好多执行，尤其可以通过一段一段的执行脚本来更好地理解机器学习是如何处理经典问题的(MachineLearning.m is the main script that needs to be d. You can this script section-by-section. It demostrates the use of different machine learning techniques for a classification problem.)

计算两个信号的自相关和互相关函数，并作图表示(Calculation of two signal autocorrelation and cross correlation function, and mapping that)

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

使用admm算法解决（group_lasso类）问题的matlab程序。(admm method solve （group_lasso）—matlab)

algorithm for face detection for human

说明：  模拟化工生产精馏开工过程,运行软件为MATLAB(Simulation of chemical production to start the process of distillation, operating software for MATLAB)

2011年美国大学生数学建模二等奖获得者B题参考程序(2011 American Mathematical Modeling Award winner Problem B reference program)