Fir-Lesmana

Logitboost 是一种改进的boostingg算法，可以用作参考 ， (Logitboost an improved boostingg algorithm can be used as a reference,)

matlab 和VisualC++结合的写出工业机器人的实例(The example of industrial robotics is with matlab and VisualC++)

非常经典的基于模糊信息处理的数据融合方法研究.用MATLAB 实现的。 请大家好好学习(Very classical information processing based on fuzzy data fusion method. Using MATLAB realization. Please study hard)

polar si9000破解版，可用到2038年，仅供个人研究参考，不能用于商业。 (Si9000 polar crack version, available to 2038, only for personal research reference, can not be used for commercial.)

Matlab基因遗传的一些入门学习资料和指导(Matlab genetic entry learning and guidance)

一张图片是之前用摄像机采集的，另一张图片是经过离散沃尔什变换再量化编码压缩后又解压所得，能看出区别吗？呵呵。flik.m是原图，newflik.m是新图。 附上所有MATLAB源程序，有兴趣的话，你也可以用这几个程序对自己的照片“加工”一番。以下6个程序分别保存为6的m文件，文件名与下面给出的一致。待“加工”图片应该存放在Matlab的Work目录下。(Before a picture is collected by the camera, another picture is the result of discrete Walsh transform and then re-quantization coding compression decompression income, you can see the difference? Ha ha. flik.m is the image, newflik.m is a new map. MATLAB source code attached to all interested, you can also use these procedures on their own photo processing of something. The following six procedures were saved as 6 m file, the file name is given with the following consensus. To be processing picture should be stored in Matlab s Work directory.)

Bjarne Stroustrup的课后练习 1. Stroustrup, Chapter 17, Questions 11 and 13, Page 624–625. 2. Stroustrup, Chapter 19, Question 4, Page 709.(1. Stroustrup, Chapter 17, Questions 11 and 13, Page 624–625. 2. Stroustrup, Chapter 19, Question 4, Page 709.)

MATLAB 最小二乘支持向量机 已知三个月的风速进行预测之后5天的风速(After MATLAB squares support vector machine known three-month forecast wind speed wind 5 days)

阶跃信号与正弦信号调制，在同一张图纸上绘制四个子图。这是一个很基础的编程应用。(Step signal with a sinusoidal signal modulation, drawn with a drawing on four subgraphs. This is a very basic programming application.)

这是对广义高斯分布中两个参数alpha,beta的估计方法，对自然图像的大量统计特征就符合这一分布。(function [f, g] = dggbeta(beta, absx) DGGBETA Derivative of generalized Gaussian pdf with respective to beta [F, G] = DGGBETA(BETA, ABSX) Return partial derivative and second order partial derivative This is an utility function for GGMLE ABSX is the distance of the data from the mean Function is undefined for negative beta if beta <= 0 f = NaN g = NaN )