PSD

Yeah I actually fixed it by moving a bunch of stuff to onResume(). There are also a number of other bugs I found in this code posted here (which was based on even buggier code) that I will post as soon as I get them all fixed. The first one that comes to mind is that in the try block it needs to check if c is null. Another one is that there is no error handling for a source going down midstream

matlab下运行有界面，实现对特定图片的处理，可以设定参数值(run a matlab interface to achieve a specific image processing parameters can be set)

一个简单的Matlab与Qt结合的项目。(A simple combination of Matlab and Qt project.)

This a set of simple implementations for aligning scans of range-bearing laser data. They are written as demonstrations of basic algorithm implementations and are not designed for real-world (ie, efficient) application. The source code consists of MatLab scripts, mex-files and C++ code. to objects). This demo also provides a nice example of using "placement new" and explicit destruction. (This a set of simple implementations for aligning scans of range-bearing laser data. Th are written as a journalist in demonstrations of basic algor ithm implementations and are not designed for r Leveraging-world (ie, efficient) application. The source code consi sts of MatLab scripts, Mex-files and C code. to objects). This demo als o provides a nice example of using the "placement ne w "and explicit destruction.)

这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法，它在最优化方法中占有重要地位.最速下降法的优点是工作量小，存储储变量较少,初始点要求不高；缺点是收敛慢，最速下降法适用于寻优过程的前期迭代或作为间插步骤，当接近极值点时，宜选用别种收敛快的算法. (The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occupies an important position in the optimization method. Advantage of the steepest descent method is the small amount of work, less storage reservoir variables, the initial point less demanding drawback is slow convergence, the steepest descent method for the optimization process of the early iterations, or as inserted steps are advised to use other kinds of fast convergence of the algorithm when close to the extreme point.)

a sample for MT4 connect matlab

matlab robotics toolbox sample

无基卡尔曼滤波matlab程序实现,ukf(No Chica Kalman filter matlab program to achieve)

GUIWarfareControls，BTRUI文件，可解压查看GUIWarfareControls(GUIWarfareControls, BTRUI file, you can extract the view GUIWarfareControls)

MATLAB-C混合编程，在M文件中调用 C语言函数，对学混合编程的初学者有一定的帮助(MATLAB-C hybrid programming, the paper called M C language function, mixed programming for school beginners can help)