ekf-filter

用Matlab编写的仿真无人机航迹规划，自主避障时所用的山形仿真(Using Matlab simulation UAV path planning, obstacle avoidance Yamagata emulation used)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

compare auto and cross corrleation for lfm and frequency hopping waveform

功率控制在CDMA移动通信系统中的作用 (The role of power control in a CDMA mobile communication system)

OMP: orthogonal matching pursuits

最优化理论约束优化,罚函数法极小化函数的matlab程序(Constrained optimization, penalty function method matlab program)

Programming, Matlab Code Implementation, Minimax Problems, Multiobjective Optimi- zation, Noisy Problems, Particle Swarm Optimization, Swarm Intelligence

说明：  粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解．(Particle swarm optimization algorithm based on the idea that groups of individuals through collaboration and information sharing to find the optimal solution.)

matlab回测平台。日线、周线、月线等不同周期的展示。MACD,BOLL,RSI,W&R,OBV,DMI,PVT等技术指标的展示。(Matlab back to the test platform. Show daily, Zhou Xian, on line in different period. MACD, BOLL, RSI, W&R, OBV, DMI, PVT and other technical indicators show.)

使用matlab对qpsk调制进行仿真，得到在高斯白噪声信道和瑞利信道的误码率以及解调后的星座图 (matlab qpsk)