ply_read

MATLAB编写，可以实现掌纹图像的边缘提取，基于小波模极大值边缘提取。(Image edge detection.)

滑模变结构控制的基础理论，很适合初学者使用和学习(The sliding mode variable structure control of the basic theory, it is suitable for beginners to use and learn)

图像配准matlab的实现，可以实现图像的配准(image registration Matlab achieve, can achieve image registration)

实现矩阵的LU最大主元分解，方便快捷有效，可以查看分解过程，适合初学者(Achieve maximum principal component matrix LU decomposition, convenient and effective, you can view the decomposition process, suitable for beginners)

这是关于UKF（无味卡尔曼滤波算法）算法的matlab程序(This is on the UKF algorithm matlab program)

this is an implementation of snake in 3D

Petviashvili method,计算孤子的程序，如非线性薛定谔方程(Petviashvili method)

说明：  基于matlab的牛顿拉弗逊法电力潮流计算(Based on The matlab Newton Laffer Johnson law power flow calculation)

: 针对实际振动位移难以获取的问题, 利用振动位移与加速度信号之间的关系, 先对采样后的加速度信 号采用时域数值积分,得到含有趋势项的速度信号及位移信号,再采用拟合多项式极值的方法, 消除积分过程 中产生的趋势项,从而得到更为精确的速度和位移信号. 算例表明, 利用拟合多项式极值消除趋势项的方法, 得到的位移时程曲线拟合精度高(: In pract ical engineering , the collection of displacement data is mo re dif ficult than that of the acceleratio n data in the time-domain .Displacement sig nals w as g ot f rom acceleration s ignals using aumerical integrat ion , wi th the t rend o f erro r. Poly nomial fit ting method o f ex t reme value to eliminate the trend of erro r w as proposed . More precise di splacement data can be acquired f rom thi s algo rithm. The example show s that thi s alg orithm can get hig h accuracy displacement data f rom the acceleration data mo re easi ly .)

Wireless Sensor Network is the network of power-limited sensing devices called sensors. Wireless sensor network is differ other networks in terms of optimization of amount of energy because when these sensors sense and transmit data to other sensors present in the network, considerable amount of energy is dissipated. Various routing algorithms are proposed to limit the powers used by the wireless sensors. Hierarchical routing protocols with the concept of clustering like LEACH and and DEEC are already best known for maintaining energy efficiency. In this submission, we will compare these two protocols.