Radar_system_simulation

4万亿投资的数模论文与实现的源代码，自己在学习数模课程的作业(4 trillion investment in digital to analog Papers and the source code, in the course of the digital-analog operations)

书籍，介绍matlab与dsp，阐述了数字信号处理原理，例程丰富(Books, introduction matlab and dsp, digital signal processing principles expounded rich routines)

雁群编队控制算法，根据原文进行简化，UAV上可以进行编队控制(Formation Control Algorithms for Wild Goose Groups)

说明：  雷达成像仿真程序，模拟点阵成像，距离多普勒成像方法RD(radar imaging ,range doppler method)

用MATLAB实现动态聚类或迭代自组织数据分析，能量熵的计算，用谱方法计算流体力学一些流动现象的整体稳定性,非归零型差分相位调制信号建模与仿真分析 ，有循环检测，周期性检测，包括四元数的各种计算。

googleearthtoolbox 各种绘图/绘图功能的Matlab与倍频产生的KML( googleearthtoolbox Various plotting/drawing functions for Matlab & Octave that generate KML. )

双向渐进拓扑优化方法，以最大化频率为目标(Bi directional progressive topology optimization with the goal of maximizing the frequency)

下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序：thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data(thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data)

说明：  通过粒子群算法解决经济调度问题，求解最低燃料成本和网损。(The particle swarm optimization (PSO) algorithm is used to solve the economic scheduling problem, and the minimum fuel cost and network loss are solved.)

one null placements(array antenna)