switch--circuit

这段代码主要是实现二阶高斯低通滤波器，本段代码全部用MATLAB语言实现的。(This code is to achieve second-order Gaussian low-pass filter, the above code to achieve the full use of the MATLAB language.)

这是一个很好的学习SIMULINK建模的基础教程，通过该课程的学习可以快速掌握SIMULINK的基本技巧。(This is a good basis for learning SIMULINK modeling tutorial, by the course of the study can quickly grasp the basic skills SIMULINK.)

Interactive smoothing for your own data, with sliders to control derivative order, smooth width, and scale expansion.

 Bootstrap is a data based simulation method for statistical inference. The basic idea of bootstrap is to use the sample data to compute a statistic and to estimate its sampling distribution, without any model assumption. Many technics are described with some examples in matlab.

-least squares algorithms using gradient descent to find minimum of function - gaussian fit algorithm

programme matlab dvb-s tool

现代谱估计welch方法，可以变换成巴特莱特方法(welch altroithm in modern spectral estimation)

在多径信号下的采用toeplitz来进行矩阵重构，对信号到达角进行估计(Using Toeplitz matrix reconstruction, DOA estimation under multipath signals )

说明：  VMD是通过迭代搜寻变分模型（具体怎么搜寻，请亲们自己看，我主要讲他的大概）最优解， 来确定我们所知的模态uk(t)及其对应的中心频率ωk和带宽。 每个模态都是具有中心频率的有限带宽（就是在频域中有在一定的宽度）。所有模态之和为源信号。(VMD is to determine the modal UK (t) and its corresponding central frequency, k and bandwidth by iteratively searching for the optimal solution of the variational model (see dear friends for details, and I will mainly talk about his approximate solution). Each mode is a finite bandwidth with a central frequency (that is, a certain width in the frequency domain).The sum of all modes is the source signal.)

说明：  改进后的BP神经网络，可以用于模型的优化和预测(The improved BP neural network can be used for optimization and prediction models)