Kalman-filtering

A Matlab script to simulate a Phase-Locked Loop (PLL). This is a type II PLL ie it has two integrators (one of these is the VCO itself). It is simulated with an FM (frequency modulation) input. The output is the demodulated baseband signal

说明：  本代码是由matlab实现蔡氏电路的混沌仿真，采用的是四阶龙格-库塔方法，比较简便。(This code is a matlab implementation of the chaotic Chua' s circuit simulation, using a fourth order Runge- Kutta method, more simple.)

网络控制系统truetime仿真，包括PID控制器、传感器、执行器(Network control system truetime simulation, including the PID controller, sensors, actuators)

针对基本无线传感器网络DV-Hop定位算法中，计算平均跳距时产生偏小误差的原因，提出了基于平均跳距修正的DV-Hop算法。改进算法中，引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子，并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证，结果表明，改进后的 DV-Hop 算法有效降低了未知节点的定位误差，是一种可行的无线传感器网络节点定位解决方案。(DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.)

matlab code for adaptive filter

ARMA 时间序列建模、预测、检验和说明(ARMA MODELS IN EVIEWS AND DOCUMENTS)

matlab，GMRES算法是一种先进的一般线性方程组的迭代算法(matlab, GMRES algorithm)

说明：  学习自适应天线，RLS最常见一种算法，这里提供其编程思路，供参考(Learning adaptive antenna, RLS algorithm is the most common kind, which offers its programming ideas, for reference)

这是一个Matlab源码，用于计算直井稳定产能(Steady productivity of vertical wells)

Draws Black-Scholes surface for European call Compute expected payoff for European call & Illustrates risk neutrality Apply Netwon s Method to N(x) + exp(x) = 2.(Draws Black-Scholes surface for European call Compute expected payoff for European call & Illustrates risk neutrality Apply Netwon s Method to N(x)+ exp(x) = 2.)