task1_main

LDA是一种数据处理方法,其程序实用,对处理各类模式识别很有帮助(LDA is a data processing method, its procedures and practical, useful for dealing with all kinds of pattern recognition)

最小均方算法在DPSK和4QAM中的实现，很有用啊，还有word文档介绍基本原理(least mean square algorithm for DPSk and 4QAM transmission )

time series analysis tools

Imperialist Competitive Algorithm

提取ERP,从matlab的数据文件中提取出脑电数据，并通过输入的信噪比进行滤波，这是第二部分(abstract ERP)

说明：  另一种潮流计算程序，本程序使用C语言编写(Another flow calculation procedures, the procedures using the C language)

Small scale HPP optimization

等间距线性阵列，阵元数M=8，阵元间距d= λ /2，等幅加权，目标方位φr =0°。产生空间白噪声矢量（复高斯分布）。 设阵列信号矢量元素s(m)=exp[j mψr]，其信号幅度为1，该阵元接收机附加的高斯噪声为n(m)=nmr+jnmi，其中实虚部均为独立同分布N(0, σ2)的高斯随机数，则该通道合成信号x(m)=s(m) + n(m)，其中信噪比为： SNR = 10 lg[1/(2σ2)] = – 3 – 10 lg(σ2) (dB) (The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted target azimuth φR = 0. Space generated white noise vector (complex Gaussian distribution). Let array signal vector elements s (m) = exp [j mψr], the signal amplitude, the element receiver additional Gaussian noise n (m) = nmr+jnmi which the real and imaginary parts are independent and identically distributed N ( Gaussian random numbers of 0, σ2), the channel the synthesis signal x (m) = s (m) the PPLS n (m), where SNR is: SNR = 10 lg [1/(2σ2)] =- 3- 10 lg (σ2) (dB))

基于二进制编码的遗传算法PID参数整定,示例(Based on the binary-coded genetic algorithm PID parameter tuning)

采用最基本的单纯形法编写了matlab程序，可用于求解各种线性规划问题(Matlab procedures used to prepare the basic simplex method can be used to solve a variety of linear programming problems)