hertz-2D

matlab基础视频教程（原创） 基本操作及其界面介绍(matlab video tutorial basis (original) introduced the basic operation and its interface)

对肌电信号中的有用信号的提取，将无用信号幅度变为0.(Useful for EMG signal extraction in the unwanted signal amplitude becomes 0.)

MATLABGUI设计学习手记(第2版)，GUI 本书首先介绍了GU I设计的预备知识 然后详细讲解了 GUI对象的属性及两种创建GUI的 方法: 采用函数创建和采用GUIDE创建 之后深入讲解了 ActiveX控件、 定时器、 串口及 mcc编译的相关知识 最后, 书中给出两个综合实例, 供读者研究学习。书中穿插了大量的图表和例题, 方便读者边查边练。(MatlabGUI design Learning Notes (2), the GUI this book first describes the the GU I design prior knowledge GUI object' s properties and two ways to create a GUI and then explain in detail: the function to create and GUIDE create After in-depth explanation ActiveX controls, timers, serial port, and MCC compiled knowledge Finally, the book gives comprehensive example for readers to study learning. Book interspersed with a large number of charts and examples, the convenience of the reader and checking while practicing.)

一个基于声卡的基本信号发生器，可以产生正弦波、方波、三角波和双频波，本程序有良好的图形界面。(A sound card based signal generator can produce sine, square, triangle wave and dual wave, this program has a good graphical interface.)

ROBUST PID CONTROLLER AUTOTUNING WITH A PHASE SHAPER

LMS算法程序，已经仿真过了，挺好的，适合给大家编程时候参考(LMS algorithm program has been a simulation, very good, suitable for everyone to reference when programming)

matlab实现wcdma的仿真程序 (achieve WCDMA Matlab simulation program)

simulink and matlab7

a m sequence generator

FCM Data set clustering using fuzzy c-means clustering. [CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of clusters in the data set DATA. DATA is size M-by-N, where M is the number of data points and N is the number of coordinates for each data point. The coordinates for each cluster center are returned in the rows of the matrix CENTER. The membership function matrix U contains the grade of membership of each DATA point in each cluster. The values 0 and 1 indicate no membership and full membership respectively. Grades between 0 and 1 indicate that the data point has partial membership in a cluster. At each iteration, an objective function is minimized to find the best location for the clusters and its values are returned in OBJ_FCN.