Code

这个小程序可以简单的选取回归分析中box-cox变换的lambda值，通过matlab强大的矩阵运算功能可以通过简单比较RSS值的方式来得到lambda，使用时只需要输入实验值矩阵X和Y即可，然后输入minRSS（X，Y）就能简单明了的看到最优变换参数 （这个程序虽然小但是学习回归分析的初学者学习时都会经过这个算法，上载时因为不到1KB所以我又放了个文本格式的）(This little program can select a simple regression analysis of box-cox transformation of lambda values, through the powerful matlab function matrix calculation can be relatively simple way of RSS to get the value of lambda, the use of only need to enter the experimental data matrix X and Y can be , and then enter the minRSS (X, Y) will be able to see the simple optimal transformation parameters)

最小二乘拟合，最小二乘拟合直线算法，使用matlab实现最小二乘拟合直线。(Least square fitting, least squares fitting straight line method, using the least squares fitting straight line matlab implementation.)

amplitude modulation usinng matlab coding

说明：  二自由度碰撞系统龙格库塔数值求解方法算例程序(Numerical solution of Runge Kutta for two degree of freedom collision system)

英文版书籍，学生版学习matlab的书籍，非扫描版。(English books, student books to learn matlab, non-scan version.)

复信号情况的基于信号先验特性函数的欠定盲分离(Blind Identification of Underdetermined Mixtures Based on the Characteristic Function The Complex Case)

关于Matlab学习的教程，尤其适合初学者学习(Tutorial on Matlab to learn, especially for beginners to learn)

这是一个改进的自适应canny算法，该方法采用改进的开关型中值滤波器对图像做去噪工作，再把整幅图像分割为若干子图像，最后在充分考虑全局以及各子图像的边缘梯度信息后，自适应地生成动态阈值。(The new Canny adaptive method divides image into sub-images,then determinates the thresholds automatically according to the whole image edge information and the sub-images edge information.)

对多功能动态试验装置的污垢厚度的检测，可以得到污垢形成的规律，从而有效地抑制污垢的形成。换热设备作为火电厂的重要设备之一，污垢的存在使传热能力下降，造成不必要的经济损失，通过对污垢的检测，掌握了热学法检测污垢的方法，提高换热设备的传热能力。(Dynamic tests on the multi-function devices detect the thickness of the dirt, the dirt can be formed by law, to effectively inhibit the formation of dirt. Heat exchanger equipment as one of the important thermal power plant, the presence of dirt reduced capacity to heat, causing unnecessary economic losses, through the dirt of detection, control the fouling thermal detection methods to improve heat transfer equipment heat capacity.)

ML-KNN实现过程，包括训练和测试两个过程(the process of ML-KNN, including training and testing )