VAD

matlab实现的JPEG图像压缩程序 可成功运行(matlab implementation of JPEG image compression program which can be run successfully)

Well, this is a Visual Studio program which monitors temperatures Arduinoin background!

其实操作系统在调用 main 函数时是传参数的，main 函数最标准的形式应该是 int main(int argc, char *argv[])，在第 6 节 “指向指针的指针与指针数组” 详细介绍。C 标准也允许 int main(void)这种写法，如果不使用系统传进来的两 个参数也可以写成这种形式。但除了这两种形式之外，定义 main 函数的其它写法都 是错误的或不可移植的。(The 88-bytes (704-bits) in the Configuration zone contain manufacturing identification data, general device, and system configuration, and access restriction control values for the slots within the Data zone. The values of these bytes can always be obtained using the Read command. The bytes of this zone are arranged as shown in Table 2-2)

This code gives the filter function which has the values as per the various performance metrics.

zxing二维码扫描的源代码,包括zxing核心包的jar和ZXingDemo源码,非常详细.(zxing dimensional code scanning of source code, including zxing core package jar and ZXingDemo source, very detailed.)

AR_interpolation for interpolate the images, which is recoganized as the best one

产生随机导频信号的程序 能利用此基本的来帮助进行复杂的编程(Generate random pilot signal)

计算信号的魏格纳分布。 用法见函数说明。(Calculate the signal Wigner. Usage See function description.)

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式(1- Read the RGB (colored) image in from user. 2- Convert image from (RGB) colored to gray image. 3- Threshold the image (convert gray image to binary image). 4- Invert the binary image (in order to speed up the time of processing). 5- Find the boundaries concentrate. 6- Determine shapes properties (ratio of dimensions, roundness). 7- Classify shapes according to its properties. )