调试过的路径规划算法测试源程序

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.)

VC6.0与MATLAB2007a的接口程序 (VC6.0 and the interface program MATLAB2007a)

关于Matlab的一些入门级PPT，包括Matlab入门教程，matlab图像处理，matlab教程(On Matlab some entry-level PPT, including Matlab how-to tutorials, Matlab image processing, Matlab tutorial )

峰值滤波用于数据特征处理，可提高算法运算速度和鲁棒性(Peak filter characteristics for data processing, the operation speed can be increased and the robustness of the algorithm)

bezier曲线的matlab程序，可以单文件，多函数运行(bezier curve matlab program, you can single-file, multi-function operation)

该程序是子空间在盲点估计的应用，开发环境是MATLAB，对学习子空间辨识算法的很有用！(The program is estimated that sub-space in the blind spot of the application development environment is MATLAB, on learning subspace identification algorithm is useful!)

说明：  我们知道，小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。以下是一维小波分解的程序. (We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then carried out under the binary sample, we obtained low-frequency, high-frequency (also known as the average, details) coefficient of two parts and Multi-level decomposition is a decomposition of the previous low-frequency coefficients to be further wavelet decomposition is a recursive process. Following is a one-dimensional wavelet decomposition process.)

说明：  粗糙集的属性约简 离散化，规则提取的方法有说明(rough set reduce)

最小均方自适应滤波器，两个基本过程：滤波和自适应(LMS adaptive filter, two basic processes : adaptive filtering and)

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