polyfitn_demo

对于两个目标的雷达脉冲信号压缩,通过MATLAB仿真实现(Two goals for radar pulse compression, through the MATLAB simulation)

演示龙格库塔方法的绝对稳定区域，从1阶到4阶，且阶数可以调整。另外，区域的左右边界可以计算出来(Absolutely stable region demonstrates Runge-Kutta methods, from an order to the fourth order, and the order can be adjusted. Further, around the boundary region can be calculated)

Principal Components Analysis (PCA) is used to compress data in such a way that the least information is lost. It does so by truncating data and thereby leaving out the data which is of the least importance to the information stored in the data. This PCA process is called dimensionality reduction,

只是一个学习的开始，那面有不足之处，gm11的小程序(Just one study that surface inadequacies the gm11 the applet)

这是一个已知ar模型参数求功率谱密度的函数(Ar model parameters are known to seek the power spectral density function)

The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) These values are typically useful in power systems, audio signal processing, and other related fields.(The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) )

基于matlab开发环境的LEANCH协议的详细注解，和自己本人改写的一部分关于改变跳数的方法，从而延长网络的生存周期，优化网络。(Matlab development environment based on detailed notes LEANCH agreement, and I rewrote part of their own hops on the change in the method, thereby extending the lifetime of the network, optimizing network.)

说明：  利用图像的阈值分割求取边缘，并与传统的方法进行对比(Image segmentation using to acquire the edge, and compared with traditional methods)

说明：  主要介绍了90个MATALAB的一些基本用法实例，以M函数的形式给出程序的基本实现流程，适合于MATALAB的初学者，可在参考这些程序的基础上自己编程实现相应的功能。(90 MATALAB introduces some basic usage examples to M functions given in the form of the basic program implementation process, suitable for beginners MATALAB can refer to these programs based on their corresponding features programming.)

Biosignals processing image GUI