haibing

字符识别、K-L人脸识别、虹膜识别、笔画识别等模式识别的例程和资料。(Character recognition, KL face recognition, iris recognition, stroke recognition, pattern recognition routines and information.)

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.)

时间序列分析G-P method to calculate the correlation dimension of Matlab (Mex version) not use "temporary separation," use of the correlation integral Mex documents fast(Time Series Analysis GP method to calculate the correlation dimension of Matlab (Mex version) not use )

说明：  最佳基带系统性能仿真，通信原理-通信教学(The best base-band system performance simulation, Communication Theory- Communication Teaching)

化学工业中的CSTR反应釜的matlab代码，每一段都有很详细的程序说明，非常好(Chemical industry in the CSTR reactor matlab code, each section has a very detailed description of the procedures, very good)

卡尔曼滤波器,自适应方面的东西,用于滤波方面的(Kalman filter, the adaptive things for the filter)

Plots a graph of circle of any radius

水位水箱模糊控制，仿真效果好，可供模糊控制初学者学习。(Water tank fuzzy control, simulation results, and fuzzy control for beginners to learn.)

两自由度非线性比例前馈四轮转向模型，测汽车质心侧偏角和横摆角速度(Two degrees of freedom nonlinear feedforward four-wheel steering model, auto measuring centroid side-slip Angle and yawing angular velocity )

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