inbooiac

An instrumentation system applied to formation flight

代码已经整合到文档，直接copy到matlab命令行，运行即可。用阈值分割、形态学处理等解决了很多很难分割的图像。(The code has been integrated into the document, direct copy to the Matlab command line can be run. Thresholding and morphological processing to solve many difficult to split the image.)

demo code source for eeg recognition

模糊PID控制，不需调试，可直接输出图像(Fuzzy PID control, without debugging, can be directly output image)

说明：  电磁测深法原理-朴化荣---一本经典的电磁测深的教材，初学电磁测深专业人员、学生的优秀入门教材，由于一直没有再版很难找。(电磁测深法原理-朴化荣，一本经典的电磁测深的教材，初学电磁测深专业人员、学生的优秀入门教材，由于一直没有再版很难找。 )

通信系统中的基带信号处理中的成型滤波器代码，已经通过编译。(Communication system baseband signal processing shaping filter code, has passed the compilation.)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

基于混沌的模拟退火算法，快速扩展随机生成树算法，有较好的参考价值。( Chaos-based simulated annealing algorithm, Rapid expansion of random spanning tree algorithm, There are good reference value.)

自己编写的基于小波变换的matlab算法，希望对大家有所帮助(I have written matlab algorithm based on wavelet transform, I hope to be helpful)

图像处理教程案例，源码程序，刚入门的学者不妨一阅，必然好处多多。(Image processing tutorial cases, source program, just to get a scholar might read, certainly many advantages.)