channel_estimator

本书全面系统地介绍了遗传算法的基本理论，重点介绍了遗传算法的经典应用和国内外的新发展。(Genetic Algorithm，GA)

基于fdtd算法下，利用matlab编程创建问题空间中目标的几何形状的源代码(Based on FDTD algorithm, use matlab to create goals in the problem space geometry of the source code)

pid程序设计，开发与matlab环境 可自行修改仿真(matlab)

光伏发电的MPPT模型，用到了S-FUNCTION(Photovoltaic power generation MPPT model, use the S-Function)

用matlab求两个向量的相关函数，可以直接执行(Using matlab for the correlation function of two vectors can be directly executed)

基于FFT平面相控阵天线方向图快速计算 (Figure quickly calculate FFT-based planar phased array antenna direction)

哈夫曼编码解码器，在matlab环境下实现的编码解码，希望对大家有用(Huffman codec in matlab environment to achieve the encoding and decoding, we hope to be useful)

通过图像，变换相位及幅度，验证傅里叶变换以及其反变换，(Verify the image by Fourier transform)

FDTD一维吸收边界条件MATLAB代码(One-dimensional FDTD absorbing boundary conditions MATLAB code)

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)