GA+PSO

该matlab代码是一个函数。它接受频域电磁场二维空间分布（用矩阵表示），包括幅度和相位，返回avi文件，显示二维电磁场的动画。(The code is a matlab function. It accepts frequency domain two-dimensional spatial distribution of electromagnetic field (with matrix), including the amplitude and phase, back avi files, the animation shows two-dimensional electromagnetic fields.)

Matlab sumilink model contains summ and gain.

在MATLAB中求图像纹理特征，小波包分析提取振动信号中的特征频率，包括脚本文件和函数文件形式。( In the MATLAB image texture feature, Wavelet packet analysis to extract vibration signal characteristic frequency, Including script files and function files in the form.)

基于MATLAB的双音多频信号DTMF的生成。(MATLAB-based dual-tone multi-frequency DTMF signal generation.)

模式识别中的线性分类器的设计，包括感知机，最小二乘法和支撑矢量机的算法的MATLAB代码。(Pattern Recognition linear classifier design, including perception, least squares and support vector machine algorithm MATLAB code. )

matlab的一些程序的基础，希望对有需要的人有些帮助。(The basis of some programs in MATLAB is expected to be helpful to those in need.)

图像插值算法（最近邻域和双线性），很好用。(image interpolation algorithm (recent neighborhood and bilinear), is useful.)

针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)

说明：  python code for cmapss segmentation

说明：  提出的方法(DC-ADMM-P)采用了一种新的策略，即使用consensus ADMM来解决DC-DOPF-CET的对偶问题，而只揭示相邻子系统之间的边界分支信息。此外，通过减少双乘子的误码率和采用改进的乘子更新步骤，提高了DC-ADMM-P的收敛性能。(the ADMM-based distributed approaches disclose boundary buses and branches information among adjacent subsystems. As opposed to these methods, the proposed method (DC-ADMM-P) adopts a novel strategy which uses consensus ADMM to solve the dual of DC-DOPF-CET while only disclose boundary branches infor-mation among adjacent subsystems. Moreover, the convergence performance of DC-ADMM-P is improved by reducing the num-ber of dual multipliers and employing an improved update step of the multiplier.)