Twoarea

gm.11一个简洁的初级学习小程序，希望大家指正，向大家学习(Gm.11a simple primary study of small procedures, we hope that the correction, to everybody study)

用matlab写的模板匹配算法，用于基于轮廓提取的多边形近似匹配算法(Matlab write template matching algorithm for approximate matching algorithm based on contour extraction polygon)

图像处理，手写数字识别，GUI界面内自写数字，可以用来学习。(Image processing, digital handwriting recognition, digital write within the GUI interface, can be used to learn.)

BP神经网络的整个训练过程,用于时频分析算法，信号处理中的旋转不变子空间法。( The entire training process BP neural network, For time-frequency analysis algorithm, Signal Processing ESPRIT method.)

matlab在通信系统中的应用仿真——HDB3码(matlab in Communication System Simulation- HDB3 Code)

This file contains simulink file for solar panal MPPT algorithm using P&O method.

观察在空间上独立瑞利衰落信道中的多输入多输出 (2 X 2) 系统的误码性能 在 AWGN 信道下的 BPSK 系统误码性能 在 AWGN 信道下的 BPSK 系统误码性能 代码写在 SciLab，可以转化为在 MATLAB 中也使用。

UWB无线通信系统仿真，请大家下载 ，不知有没有用(This package simulates Q. Zhang s FSR-UWB (Frequency-Shifted Reference Ultra-Wideband) Wireless Communicatons System which is known as the TR-UWB without the delay element. )

交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)

BLAST detection algorithm