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这是一个计算功率谱的C语言源程序，采用周期图法估计，可以直接应用与项目中，对做信号处理和图像处理的同志们有用。(this is a psd program that use the C language and it can be used in your project.)

详细介绍matlab开发软件的使用以及各种功能介绍(Detail the use of matlab software development as well as the introduction of various functional)

matlab simulink boost converter

RUGGEDCOM USER GUIDE

电机的MATLAB仿真，包括步进电机，同步电机，直流电机的仿真源代码。内容全面(Motor MATLAB simulation, simulation source code, including stepper motors, synchronous motors, DC motors. Comprehensive)

说明：  该模型是dijkstra算法求解路径规划问题，对该方面算法感兴趣的可以借鉴学习(The model is Dijkstra algorithm to solve the path planning problem. Those who are interested in this aspect can learn from it)

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.)

matlab作图精典教案，适合初学者学习使用(matlab drawing classic lesson plans for beginners to learn to use)

人脑图像边缘提取,比较好用的人脑图像边缘提取matlab仿真程序。(The human brain image edge extraction, relatively easy to use the human brain image edge extraction matlab simulation program.)

蚂蚁算法求解路径优化问题就是求解有车辆约束问题的matlab程序，包括四个文件。(Ant algorithm for path optimization problems)