MATLABcodeforthebranchandcut

基于文化算法的粒子群优化算法能记忆遍历过的最优值(Culture-based particle swarm optimization algorithm to traverse through the optimal value of the memory)

This is my whole part of visual basic my licence project!

用matlab实现基于累积法的微弱信号检测技术(Using Matlab to Realize the Weak Signal Detection Technology Based on the Accumulation)

详细的介绍了matlab信号和图像处理的方法和原理(Detailed description of the matlab signal and image processing methods and principles)

rls和LMS的MATLAB仿真程序，供大家参考(rls and LMS in the MATLAB simulation program, for your reference)

基于MATLAB的QPSK调制解调性能仿真，用simulink仿真QPSK结构。(Based on MATLAB QPSK demodulation performance simulation, using simulink QPSK structure.)

this file is about beam forming with adaptive file

TSP问题关于蚁群最优化算法的MATLAB程序(Ant colony optimization about TSP algorithm of MATLAB)

windmill simulink for matlab simulation for project

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations