Gaussian_propagation

说明：  实现蚁群算法，实现蚁群算法的MATLAB程序。只要输入城市坐标就行(The realization of ant colony algorithm, ant colony algorithm to achieve the MATLAB program. Just enter the city coordinates on the line)

simulation of transformer paralleling by MATLAB SIMULINK

介绍了一个小波算法的例子，简单可靠，并在MATLAB中得到验证(introduce a program about the wavelet ,the program is easy and can be used in MATLAB )

噪声对基于Duffing方程弱信号检测的影响研究Noise on Duffing equation based on the impact of weak signal detection(Noise on Duffing equation based on the impact of weak signal detection)

该计算代码主要对msk,fsk,ask等常规调制信号的循环谱进行了仿真，可以进一步补充，谢谢大家分享。(This calculation code mainly cyclic spectrum msk, fsk, ask other conventional modulation signal simulation, can be further supplemented, thank you share.)

Matlab通信仿真原理，中文的，是一本入门级别的，写的很详细，也有很多详细的例子(Matlab Communication simulation theory, in Chinese, is an entry-level, written in great detail, there are many detailed examples)

在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 (Superimposed noise in the position of the movement. JPDA probabilistic data association and kalman filtering. Two moving targets uniform linear motion in the xy plane. The initial position (4000,1200) (300,1500) speed (200,200) (400,200) position sensor on the amount of target state measurements. Sampling interval T = 1, points n = 80. Detection probability of correctly measured fall into the tracking probability 0.99, 2/km2 clutter uniform distribution of density generated by the RAND function [0,1] uniformly distributed random variables tracking threshold of 9.21.)

tls 算法 解决带系数矩阵的问题比LS算法在误差校正方面更有优势(tls algorithm to solve the problem with the coefficient matrix more advantages than the LS algorithm in terms of error correction)

采用matlab的GUI写的晚会等可用的按座位抽奖的程序，为西安电子科技大学2013届研究生迎新晚会上使用的抽奖程序( Seats by party and other lottery programs available)

说明：  在LabVIEW中应用MATLAB进行信号处理(signal processing by matlab in labview!)