flatness-and-xinxisha

MATLAB CODE FOR Matlab Icon for Linux (with Transparency)

GPS_INS紧耦合组合导航系统研究,对学习组合导航系统有一定的参考价值(GPS_INS tightly coupled integrated navigation system, integrated navigation system for the study has some reference value)

阵列信号处理信源数估计算法，用来估计信源数目(Matlab code of state-of-the-art 1-D model order selction (also known as source enumeration, estimating the number of source ignals impinging on an array of sensor) methods. The main function "main.m" compares the performance of them.)

仿生优化计算方法，可适用于基于选择类问题求解(Metaheuristic method, which can be used for problems based the requirement of sample selection)

L-M(Levenberg—Marquardt)是一种非线性最优化里面最常用的方法之一，改方法能快速而准确的逼近收敛值。本文简述了改方法的操作原理和具体运用，如可以方便的用于有约束与无约束最优化的求解。本文件里面有源码和测试码以及对该方法的具体介绍PDF文件。欢迎下载。(L- M (Levenberg- Marquardt) is a kind of nonlinear optimization inside one of the most commonly used method, change method can fast and accurate approximation convergence value.This paper briefly describes the operating principle of change method and concrete application, such as easy to solve constrained and unconstrained optimization.This document there are source code and test code as well as to the PDF file the detailed introduction of the method.Welcome to download.)

SAR图像精配准，最小二乘算法,输入输出为s7,s8,Realh(粗配行偏移)，Reall(粗配列偏移)(SAR image coregistration,LMS)

仿真了相控阵雷达的天线方向图，能进行不同的状态参数设置，产生的天线方向图(Simulation of a phased array radar antenna pattern, can be a different state parameter settings, resulting antenna pattern)

说明：  kalman滤波，扩展的kalman滤波（EKF），unscented Kalman filter（UKF），基于EKF和UKF混合模型的IMM实现，以及配套的Rauch-Tung-Striebel和two-filter平滑工具，一个很好用的框架(kalman filtering, extended kalman filter (EKF), unscented Kalman filter (UKF), based on the EKF and UKF realize mixed-model IMM as well as ancillary Rauch-Tung-Striebel and two-filter smoothing tool, a very good framework to use)

A SIMPLE MATLAB PROGRAM FOR IMAGE GRAY SCALING

在自动控制系统的过程中，白噪声的产生方法，MIT 稳定方程 持续时间 稳定时间(The automatic control system of the process, the white noise generation method, MIT stabilization stabilization time duration equation)