PD_cascade

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.)

说明：  采用HVS的图像相似度准则计算WPSNR (The use of HVS image similarity criteria WPSNR)

对基带数字通信的位同步过程进行了仿真，采用Gardner算法，没有用插值。符号用SRRC进行脉冲成形，环路滤波器没有用PI回路，是简单的alfa，1-alfa低通滤波，NCO调整也比较简单。(Baseband digital communications for the bit synchronization process of the simulation, using Gardner algorithm, did not use interpolation. Carried out with SRRC pulse shaping symbols, did not use PI loop filter circuit is a simple alfa ,1-alfa low-pass filter, NCO is also relatively simple to adjust.)

SPEECH ADAPTIVE COMPRESSION USING COSINE PACKETS code

一种基于马尔科夫随机场的图像分割matlab源码，包含ICM迭代条件模式求解最大后验概率算法，已通过测试。(Markov random field based image segmentation matlab source code, including the ICM iteration conditions for solving the maximum a posteriori probability model algorithm has been tested.)

This helps in making the B-Spline curve around the object.

无刷直流电机 伺服控制系统仿真 精华,对转向器等方面有用(The brushless DC motor servo control system simulation the essence of the steering gear and other useful)

naive bayes分类法的matlab实现，包含训练和测试部分(naive bayes classification matlab realize, including training and testing parts)

用于计算Zernike多项式系数在缩放、偏心、旋转后的值(Calculating the values of Zernike polynomial coefficients after scaling, eccentricity and rotation)

说明：  具有自检测功能的交通路标识别系统代码。能自动识别常见的交通标志，检测道路信息。(Self-detection of traffic signs recognition system code. Can automatically identify common traffic signs, road information detected.)