INTEGRATION

低通抽样定理程序有课程设计的要用的自己看看吧(Low-pass sampling theorem of the curriculum design process should take a look at your own)

使用MATLAB实现的BP神经网络的回归功能，代码非常的简洁(using MATLAB BP neural network regression function, the code is very simple)

希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法，不再是c1=c2=2，粒子进化更加灵活，下面是学习因子同步变化的pso，调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)(People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 = 2, particle evolution is more flexible, learning factor is below synchronous changes pso, calling in the form of [xm, fv] = LNCPSO (fitness, N, cmax, cmin, w, M, D))

A basic vertical handover code

用matlab所学的知识，编写最小二乘法拟合程序，以解决物理实验中的最小二乘法拟合曲线以及相关系数等的问题。(With matlab learned, the preparation method of least squares fitting procedure to solve the problems of the least-squares fitting curve and correlation coefficient physics experiments.)

These codes generate simulation results depicted in the paper titled J. Chen, H. Yin, L. Cottatellucci, and D. Gesbert, "Dual-regularized Feedback and Precoding for D2D Assisted MIMO Systems", IEEE Trans. Wireless Commun., 2017. Author: Junting CHEN Email: juntingc@usc.edu Date: May 20, 2016

横向滤波器 DFE滤波器 误码性能比较 横向滤波器 DFE滤波器 误码性能比较(横向滤波器 DFE滤波器 误码性能比较)

matlab开发环境下的谱减法算法，主要用在了作者的语音增强算法当中(development environment under matlab spectral subtraction algorithm, mainly used in the author)

Linear Perceptron Classifier and Least Square Classifier Algorithms

采用Landweber方法进行反卷积，迭代次数需要自己设定(deconvolution with Landweber)