MATLAB-report

提升函数lwt函数和lsinfo函数的函数功能，语法格式及使用说明，简单易懂(Lwt function and enhance the function function function function lsinfo, grammar format and instructions for use, easy to understand)

说明：  用Matlab实现声波信号的傅立叶变换。可直接倒入音频，生成图像。(Acoustic signals using Matlab Fourier transform to achieve. Directly into the audio and generate the image.)

主元分析法的简单程序，可以以此为基础进步发展改进。(Principal component analysis of a simple procedure that can improve as a basis for progress and development.)

HHT是历史上首次对Fourier变换的基本信号和频率定义作的创造性的改进。他们不再认为组成信号的基本信号是正弦信号,而是一种称为固有模态函数的信号(HHT is the first time in the history of the Fourier transform basic definition signals and frequencies for creative change Progressive. They will no longer signal that the basic component signal is sinusoidal signal, but as an intrinsic mode function signals)

simulink model of dual bridge ac to dc converter. the important thing it is in open loop. it is for study purpose..

因子分析是指研究从变量群中提取共性因子的统计技术。自编matlab程序。(factor analysis Matlab code)

MATLAB 程序，基于GUI界面设计的PCM调制、编码的仿真，这个是用界面设计开发，为大家在编写程序提供了帮助(MATLAB program, PCM modulation, coding simulation-based GUI interface design, this is the interface design and development, provide help in the preparation of the program)

matlab程序，用于去掉二值图像中的单个像素的像素点，保留图像中较大面积的区域(get rid of single pixels in images)

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

Matlab教程 浅显易懂 推荐初学者学习(Matlab Tutorial for beginners to learn in simple recommendation)