RL78_32pin_BLDC-Motor-Power-tool

This Matlab software allows to visualize a simple control of a system using digital image procesing, specifically the control of filling liquid in a bottle

GPSR算法，一种求解压缩感知模型的快速算法，大量论文都涉及到(GPSR algorithm)

此程序为解非线性方程组的逆Broyden秩1迭代法，为MATLAB源程序(This procedure for the solution of nonlinear equations inverse Broyden iteration rank 1 for MATLAB source code)

The LASIP routines for Multiframe Blind Deconvolution are used for restoration of an image from its multiple blurred and noisy observations.

支票印鉴图的彩色图像分割，在处理过程中选取感兴趣的颜色（红色）进行分割(Check seal map image segmentation, are interested in the process, select the color (red) were divided)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

二维骨架仿真,使用matlab实现一个二维骨架效果的仿真。(Two-dimensional frame simulation, the use of matlab realize the simulation of a two-dimensional frame effect.)

MATLAB Tutorial This tutorial is available as a supplement to the textbook Fundamentals of Signals and Systems Using Matlab by Edward Kamen and Bonnie Heck, published by Prentice Hall. The tutorial covers basic MATLAB commands that are used in introductory signals and systems analysis. It is meant to serve as a quick way to learn MATLAB and a quick reference to the commands that are used in this textbook. For more detailed information, the reader should consult the official MATLAB documentation. An easy way to learn MATLAB is to sit down at a computer and follow along with the examples given in this tutorial and the examples given in the textbook.

插值拟合在matlab中的实现方式，采用模块化处理，方便移植、改进。(Fitting interpolation in matlab realize in the way of modular treatment to facilitate transplantation to improve.)

用c-mex文件编写的s函数，生成一个指令信号，其实就是一个分段函数(Preparation of documents with the c-mex s-function, generates a command signal, in fact, a sub-function)