Tower

gary model,FOR MATLAB(GM(1,1)，GRAY MODLE)

Its IEEE paper on Control of An Islanded Distributed Energy Resource Unit with Load Compensating Feed-Forward

Introduction to using Simulink in MatLab

说明：  利用离散二进制粒子群算法，主要用于网络重构(Discrete binary particle swarm optimization algorithm for reconstruction)

matlab 学习资料 第一部分 MATLAB语言基础 (matlab the first part of learning materials based on MATLAB language)

说明：  在抗干扰算法中，对抗干扰权加Chebyshev窗，以降低副瓣电平，使方向图更好(In the anti-jamming algorithm, Chebyshev window on the right and interference to reduce the sidelobe level, so that pattern better)

SAR成像经典MATLAB仿真程序，三种不同的算法，学习雷达成像的学生可以考虑下载(sar imaging by cs)

GPS 通过星历计算卫星坐标，及坐标转换(GPS to calculate the satellites coordinates by ephemeris, and coordinate conversion)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

代码为实现了信道CLARKE模型的仿真代码(Code for the implementation of channel simulation code CLARKE)