Kalman-Filter

雷达系统设计的matlab仿真教程 （一共13章节）(matlab simulations for radar systems design （13chapters）)

继承和派生的基类，是包裹类和其派生的两日包裹和连夜加急包裹(Inheritance and derived base class)

DRROBOT I90的基本應用以及智慧型影像錄相機無線移動系統(The basic application DRROBOT I90, and intelligent video recorder wireless mobile systems)

c++ 通用弹道仿真计算程序(经典版)lalalalla(C dandaofangzhenchengxudfdfdfdfdf)

电子工业出版社《数字信号处理——基于计算机的方法》第三版的matlab代码，(Publishing House of Electronics Industry "digital signal processing- computer-based method for the third edition of the matlab code)

实现VC++与Matlab的混合编程，解决这 个问题， 不仅能更好地发挥Matlab 强大的功能， 还能快速地进行软件开发， 尤其是当软件开发中需要实现复杂的数学算法、图形处理时尤为迫切。(The realization of VC++ and Matlab mixed programming, to solve thisA question, not only can play a better Matlab powerful function, can rapidly in software development, especially when the software development need to realize the complex mathematical algorithms, graphics processing is particularly urgent.)

一道程序编译顺序的考题，涉及到函数调用的先后顺序及运算符号的优先级等问题。下面我展开给你讲。 C的程序编译总是从main函数开始的，这道题的重点在“fun（（int）fun（a+c,b）,a-c）） ”语句。 系统首先要确定最外层 fun()函数的实参，第一个参数的确定需要递归调用fun()函数（不妨称其为内层函数）。内层函数的两个参数分别为x=a+b=2+8=10、y=b=5,执行函数体x+y=10+5=15,于是得外层函数的参数x=15。其另一个参数y=a-c=2-b=-6,再次执行函数体,得最终返回值x+y=15+(-6)=9。 (Compiling together the sequence of test procedures, involving the sequence of function calls and operator symbols, such as the priority problem. Now I give you to start speaking. Procedures for C compiler always start from the main function and at这道题the focus of " fun ((int) fun (a+ c, b), ac)) " statement. System must first determine the most outer layer of fun () function of real parameters, the first parameters of recursive calls required fun () function (may be called the inner function). Inner function separately for the two parameters x = a+ b = 2+8 = 10, y = b = 5, to execute the function body x+ y = 10+5 = 15, then the outer function parameters were x = 15 . Its another parameter y = ac = 2-b =- 6, once again to execute the function body may eventually return the value of x+ y = 15+ (-6) = 9.)

plot faces by using matlab(plot faces)

深度典型相关性分析，在线性的CCA上增加了深度网络，以此来学习新特征并提高多模态数据之间相关性( Deep cca ,the deep network is added in linear CCA to learning description that the correlation is better between multi-modal datas)

灯光中央控制系统的设计应用,是一份非常经典的灯光控制应用领域的文档(灯光中央控制系统的设计应用)