QAM_Modem_Demo

直线阵采用切比学夫加权控制主旁瓣比，抑制噪声。此程序基于常规波束形成实现，程序思路清晰，适合刚接触阵列信号处理的人参考。(Linear array by cutting the right of control over the primary school laid upon the side-lobe ratio, noise suppression. This program is based on conventional beamforming implementation process with clear ideas for people new to reference array signal processing.)

it contains many classic Test Problems for Unconstrained Optimization such as camel6,treccani,goldstein,branin, shubert1,Ackley,dejong,dejong1,dejong2, dpower,rastrigin,Griewangk,Schwefel, rosenbrock2 and step. the package have the contour and mesh figures of these problem. it also give m files of these problems,and you can easily get your view of figures.(it contains many classic for Test Problems Unconstrained Optimization such as camel6. treccani, goldstein, branin, shubert1, Ackley. dejong, dejong1, dejong2, dpower, rastrigin. Griewangk, Schwefel. rosenbrock2 and step. the package have the cont our mesh and figures of these problem. it also gi ve m files of these problems. and you can easily get your view of figures.)

此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)

说明：  FSK信号的解调，采用最原始底层语言编辑各模块实现(FSK signal demodulation, adopt the most primitive language editing each module implements bottom )

卡尔曼滤波器对沿直线运动的机器人的运动轨迹进行估计。画出轨迹估计曲线和实际运动曲线(Kalman filter to estimate the trajectory of the robot along the linear motion. Draw the trajectory estimated curve and the actual motion curve)

本文件内容是蒙特卡罗算法，主要是对一些被积函数难的多重积分进行估计，文档除了程序以外，还有详细的讲解，便于理解。(Contents of this document are the Monte Carlo algorithm, mainly for some of the integrand is difficult to estimate the multiple integration, documentation, in addition to the program, there are detailed explanations, easy to understand.)

PID解耦，用于多变量解耦，是个很好的例子，希望对大家有用(PID decoupling, for multi-variable decoupling is a good example, in the hope it would be useful)

Basic Step Down chopper

matlab小程序，绘制bode图~~~~~~~~~~~~~~~~~~~~~~~(Matlab applet, drawing Bode diagram)

使用k-means算法对样本空间中的未分类的点进行聚类。(K-means algorithm using the sample space clustering unclassified points.)