application

基于PCNN的图像融合，用matlab编写实现的。(PCNN-based image fusion, written with matlab implementation.)

通过对拟合椭圆的点数的不同来分析拟合椭圆与标准椭圆的误差。(By fitting elliptical points to analyze the different elliptical fitting with the standard error ellipse.)

基于Kalman滤波算法的自适应AR模型(Adaptive Kalman filtering algorithm based on AR model)

这个程序主要是应用在图论中来解决哈密顿回路问题 是比较常见的(This procedure is mainly used in graph theory to solve the Hamiltonian circuit problem is more common)

mdpsk的调制程序，可以调制任何m值的差分和非差分调相数字信号，只需要输入消息序列就行(mdpsk modulation process can be modulated to any m value of the differential and non-differential phase modulation digital signal, only need to enter the message sequence on the line)

ann The models used in MPC are generally intended to represent the behavior of complex dynamical systems. The additional complexity of the MPC control algorithm is not generally needed to provide adequate control of simple systems, which are often controlled well by generic PID controllers. Common dynamic characteristics that are difficult for PID controllers include large time delays and high-order dynamics.

The induction motor is fed by a current-controlled PWM inverter which is built using a Universal Bridge block. The motor drives a mechanical load characterized by inertia J, friction coeficient B, and load torque TL . The speed control loop uses a proportional-integral controller to produce the quadrature-axis current reference iq* which controls the motor torque. The motor flux is controlled by the direct-axis current reference id*. Block DQ-ABC is used to convert id* and iq* into current references ia*, ib*, and ic* for the current regulator. Current and Voltage Measurement blocks provide signals for visualization purpose. Motor current, speed, and torque signals are available at the output of the Asynchronous Machine block.

matlab在gapRTK定位描写中的误差分析与数据处理(Matlab gapRTK description in positioning error analysis and data processing in )

基于canny算子的图像边缘算法的matlab程序(Based on the canny edge operator)

利用人脸的灰度值的不同可以高效识别人脸区域以及定位的功能，以及可以识别非人脸(The use of human faces of different gray value can be efficient to identify human faces as well as the positioning function of the region, as well as to identify non-human face)