gamma_fit

时域处理算法，本源码是关于时域预处理放面的内容，包含简易的算法(Time domain processing algorithms, the source is placed on the surface pretreatment time-domain content, including a simple algorithm)

arduino_AFMotor库，用于控制连在ARDUINO上的电机(This is the August 12, 2009 Adafruit Motor shield firmware with basic Microstepping support. Works with all Arduinos and the Mega For more information on the shield, please visit http://www.ladyada.net/make/mshield/ To install, click DOWNLOAD SOURCE in the top right corner, and see our tutorial at http://www.ladyada.net/library/arduino/libraries.html on Arduino Library installation)

说明：  块状和梳状导频下的OFDM信道估计LMMSELSSVDLMMSE-OFDMoncha，(OFDM channel estimation lmmselsvdlmmse OFDM oncha with block and comb pilots)

演示软件：不变特征点匹配。 作者：大卫罗伊(Demo software: Invariant keypoint matching. Author: David Lowe)

介绍了一种用Matlab 信号处理工具箱进行数字滤波器设计的方法。给出了工具箱中的FDATool 图形用户接 口的详细使用方法,用FDATool 进行滤波器设计,可以随时对比设计要求和滤波器特性调整参数,直观简便,在每次改变参 数时,由于计算机的超强运算能力,只需点击设计按钮,新的滤波器立即产生,避免了传统滤波器设计的大量手工运算。并 用他设计出了满足性能要求的低通数字滤波器,实现了对加速度传感器干扰振动信号的滤除,解决了工程实际问题。(This thesis int roduces a digital filter designing method using signal processing toolbox in Matlab sof tware. It gives detailedly using specifications of FDATool graphical user interface ,when designing filter using FDATool ,you can com2 pare filter designing demand with filter character so as to adjust the parameter at any moment . For powerful operation function of the computer ,when the parameters are changed ,you only need point the design button ,new filter will be produced. In this way ,a mass of manual operation will be avoided. A good lowpass digital filter is designed using FDATool ,the filter can filter preferably the acceleration sensor vibration signal and resolve the engineering problem.)

有限差分法的Matlab程序（椭圆型方程）(Finite difference method in Matlab (elliptic equations))

induction motor line start simulation in matlab

线性调频信号的产生，仿真观察线性调频信号是什么样子的！(Generate chirp signal simulation observed chirp signal is what it looks like!)

matlab 与C混编，通过交替最小化方法求解乘性噪声模型，利用了shifting技术。(Written by H. Woo and S. Yun, the corresponding paper is "Alternating minimization algorithm for speckle reduction with a shifting technique")

ML-KNN实现过程，包括训练和测试两个过程(the process of ML-KNN, including training and testing )