ddc_30m_1

说明：  多目标优化的例证，用粒子群算法做的。调试过，没问题，能用。(multi-objective ,PSO)

This Matlab file is intended to demonstrate that the application of Kalman filters to basic linear system is quite easy and its application is optimal under certain conditions.

在matlab环境下使用ACO蚁群算法解决TSP旅行商问题(In the matlab environment using ACO ACO algorithm to solve the traveling salesman problem TSP)

编程心态管理，自我控制！提高效率。建立目标(Manages itself to move, the formulation goal, the self-surveillance develops the flow )

modulation techniques used in comminication

计算在光纤长度一定时，不同功率抽运光对激光器输出特性的影响(A certain length in the fiber, the different power pump laser output characteristics on the impact of)

k—均值分割，分割效果明显，在Matlab下完美实现(K-segmentation, segmentation obviously perfect realization in Matlab)

利用角度的不同进行识别，两图像的模式识别范畴(Using the perspective of the different recognition, two images of the field of pattern recognition.)

模拟两个相干的的窄带信号。阵列的阵元数为10，快拍数为200，信号入射方向分别为20°，60°，阵元间距为入射信号波长的1／2，信噪比为20dB。分别用MUSIC算法和改进MUSIC算法进行仿真。仿真结果如下图所示(MUSIC algorithm is improved compared with the simulation of signal coherent MUSIC algorithm. Two coherent analog narrowband signal. Array element number of the array 10, the number of snapshots 200, a signal incident directions, respectively 20 °, 60 °, array element spacing is 1/2 of the wavelength of the incident signal, SNR is 20dB. Respectively MUSIC MUSIC algorithm and improved algorithm simulation.)

Tennessee Eastman challenge