Matlab-PSO

一个适用于Matlab的随机抽样一致算法(RANdom SAmple Consensus,RANSAC)工具箱(RANSAC(RANdom SAmple Consensus)Toolbox for Matlab)

face detect on web camera

vcalssification algorithm8

这是hosa工具箱中使用各种函数的一些例子或原始数据，对于指导如何使用hosa工具箱中的函数很有帮助。(this is the demo of the matlab toolbox hosa. it s helpful to teach you how to use the functions of hosa toolbox.)

实现APFC以及DCDC转换功能的算例，能够完成挺不错的实现(APFC and DC/DC)

ofdm papr程序，适用于slm，pts等(ofdm papr procedures applicable to slm, pts, etc.)

雷达的信号处理 恒虚警检测 MTD 分快慢门限(Radar signal processing MTD CFAR detection threshold of speed)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)

phase locked loop pll as fm demodulator

数值计算方法 三段线性插值matlab程序，可以输出各段函数(Numerical methods linear interpolation matlab program three sections, each section can be output function)