PID

CPU exception context structure in MP shared ram after trap.

Wound detection image captured with live camera With this code we can automatically identify the wound in human body and its area.

constancy gui using white patch

本代码主要用了多标签K近邻方法（MLKNN）实现对多标签数据进行分类(This code mainly spent more than a label K-nearest neighbor method (MLKNN) to achieve the multi-label data classification)

有限元的热代码，希望大家下载学习，分享给大家(fenite elment method thremo code to everyone study)

基于MATLAB_Simulink的系统仿真技术与应用 本书首先介绍MATLAB语言的程序设计的基本内容，在此基础上系约介绍了系统仿真所必要的数值计算方法及MATLAB实现，并以Simu1ink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真，由浅入深介绍了模块封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术均实时控制技术。本书可作为一般读者学习和掌握MAlLAB／Simulink语言的教科书，也可作为高校理工科各类专业的本科生和研究生系统仿真类课程的教材和参考书，还可供科技工作者、教师作为学习和应用系统仿真分析技术解决实际问题的参考资料。(This book introduces MATLAB programming language, the basic content, in this based on the simulation system presented about the necessary numerical methods and MATLAB implementation, and Simu1ink introduced the system as the main tool for simulation methods and techniques, including the continuous system , discrete systems, stochastic input system and complex system simulation, Deep introduced module packaging technology, power system block set, set of nonlinear system design module, S-function and application of writing, Stateflow finite state machines, virtual reality tools use of boxes and other senior, finally introduced the loop simulation technology are real-time control technology. )

鲍威尔算法，最优化算法，研究生学习，大家相互交流(Powell algorithm, optimization algorithms, graduate study, we exchange)

This is a journal that you need to build a AAC Compression

说明：  bp神经网络对字母的识别，在matlab里运行，并且附带程序和运行后的图像，(The bp neural network recognition of letters, running in the matlab, and the supplementary program and after the operation of the image,)

说明：  用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。(LMS algorithm with the adaptive equalizer, draw a square of experimental error convergence curves of the final design of the filter coefficients. An experiment of training sequence length is 500. To 20 independent experiments, to draw square error convergence curves.)