SA

UWB，超宽带信号分析必用的子函数，第7部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 7!)

你也matlab实现抑制载波单边带调幅的仿真，包括输出各个节点的信号频谱图。(You can also achieve the suppression matlab simulation carrier single sideband amplitude modulation, including the output of each node signal frequency spectrum.)

说明：  基于最小二乘的Matlab拟合算例 相当好用(Based on the Matlab least squares to be quite cost-effective use cases)

nl算法是一个十分好的图像去噪的算法，算法比较容易实现，适合于图像处理方面入门的人学习使用(nl algorithm is a very good image denoising algorithm, the algorithm is relatively easy to implement, suitable for image processing aspects of the entry of people learning to use)

六相永磁同步电机矢量控制，包含传统的矢量控制和基于VSD坐标变换的六相永磁同步电机矢量控制(Six-phase permanent magnet synchronous motor vector control, comprising a vector control based on the traditional six-phase permanent magnet synchronous coordinate conversion VSD motor vector control)

求解非线性随机动态模型的算法和程序。内有文章和代码。(This is a software package for solving the one- and two-sector model from the article "Solving Nonlinear Dynamic Stochastic Models: An Algorithm Iterating on Value Function by Simulations")

制作运用Broyden迭代法解线性方程组的用户界面(Making Broyden iteration method by solving linear equations of the user interface )

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

In this paper the topology of a four-leg shunt active-power filter (APF) is given. The APF compensates harmonic and reactive power in a three-phase four-wire system.

简单遗传算法MATLAB实现，详细的介绍了简单遗传算法的实现过程，并以一个简单的函数优化作为案例说明了其应用。但是由于该测试函数过于简单，在实际的应用过程中，还需要对相关参数进行调整，使其效率得到更大的提高。(Simple genetic algorithm based on MATLAB realize, describes in detail the process of simple genetic algorithm, and a simple function optimization as a case illustrate its application. However, since the test function is too simple, in the actual application process, the relevant parameters need to be adjusted to greater increase efficiency.)