chengxu1

经验模式分解（EMD）是处理非线性，非平稳信号的一种有效算法。本论文是黄锷先生关于算法的描述(Empirical Mode Decomposition (EMD) is linear and non stationary signals an effective algorithm. Mr. Huang E of this paper is the description on the algorithm)

说明：  基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维的Matlab程序(Cao method, based on the chaotic time series reconstruction phase space optimization of the embedded peacekeeping procedures Matlab)

数据聚类算法的一种K-means算法，可以用于模糊推理系统输入空间及规则数的确定(A data clustering algorithm K-means algorithm for fuzzy inference system of the input space and the number of rules to determine)

matlab 中GUI图形界面中进度条的使用，包括其属性设置，较详细。(matlab GUI study)

水文时间序列 每旬的极端事件计算，该指标用于混沌计算前期处理(Hydrologic time series of extreme events is calculated every ten days, the index is used to calculate the pre-treatment of Chaos)

Randon data from program

基于2阶消失矩的Daubechies尺度函数的TE波2维MRTD仿真，吸收边界条件为FDTD/PML连接边界。(2D MRTD TE mode baseed on 2nd-vanishing moments of Daubechies scaling function simulation, the absorbing boundary condition is FDTD/PML connection boundary.)

2MSK调制解调 双极性信号输入 产生简单直观的误码率图(2MSK modem Bipolar signal input to a simple and intuitive diagram of bit error rate )

soliton pulses that affected the damping. soliton pulse stability of the dispersion

粒子群优化算法pso的matlab程序,测试函数为Sphere函数,可以直接使用,其他函数可以自己更改(PSO pso matlab program, test the function of Sphere function, can be used directly, other functions can own change)