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模型辨识 模糊神经网络 T-S模型 输入输出 隶属度函数(Model Identification of TS Fuzzy Neural Network model input and output membership function)

Name: gmac = global minimization of the active contour model ％ Description: see paper "Fast Global Minimization of the Active Contour/Snake Model" in JMIV07 ％ Author: Xavier Bresson (xbresson@math.ucla.edu) ％ Lastest version: 07-09-21(Name: gmac = global minimization of the active contour model Description: see paper Fast Global Minimization of the Active Contour/Snake Model in JMIV07 Author: Xavier Bresson (xbresson@math.ucla.edu) Lastest version: 07-- 09-21)

跟踪滤波方法：概率数据互联。封装性能好！(Tracking filter method: probabilistic data association. Package good performance!)

受激布里渊散射程序源码，泵浦光及散射光的Matlab模拟，很好很强大(Stimulated brillouin scattering program source code)

recover reflectance image

new raja login gm tool

基于协同检测技术的能量检测算法，实现过程中使用了不同的仿真条件(Collaborative detection technique based on energy detection algorithm, the process used to achieve different simulation conditions)

通过这一算法可以实现二维平面内无人机的路径规划。在该平面内存在已知的障碍，势场法通过给终点添加引力，对障碍增加斥力，使得无人机能够顺利的避障并到达终点。通过对传统势场法的改进，避免了无人机容易陷入极值的问题，使搜索更易实现。(Through this algorithm, the path planning of the UAV in the two-dimensional plane can be realized. There are known obstacles in the plane. The potential field method adds gravity to the terminal to increase the repulsion for obstacles, so that the UAV can avoid obstacles and reach the terminal smoothly. Through the improvement of the traditional potential field method, it avoids the problem that the UAV is easily trapped in the extreme value and makes the search more easy to be realized.)

用于蚁群算法，环境是matlab，是关于路径优化(Ant colony algorithm path planning)

matlab开发环境，．编程实现二维DFT的变换，并与标准函数结果fft2进行比较，基本傅里叶、离散余弦变换，空域（完成两个程序） 增强噪声后再进行处理，利用标准函数，求图像阈值分割、边缘检测的基本使用（lena256.bmp，方法：graythresh、edge），求分水岭，利用标准函数dwt2、idwt2分解图像man_pic.jpg，基本 BP-BPbase1 (matlab development environment. Programming dimensional DFT transform, and with the standard functions compare results fft2 basic Fourier, discrete cosine transform, airspace (to complete the two programs) to enhance the noise and then processed using standard functions for image thresholding, edge Detection of basic use (lena256.bmp, method: graythresh, edge), seeking watershed, using a standard function dwt2, idwt2 decomposed image man_pic.jpg, basic BP-BPbase1)