Neville

不使用matlab库函数,实现图像的直方图均衡化,并且显示灰度变化的函数曲线(Do not use library functions to achieve the image histogram equalization)

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 .)

说明：  智能天线的MATLAB实现 利用MMSE标准的最小均方算法 结果正确 可以直接使用(MATLAB implementation of smart antenna using the standard MMSE minimum mean square algorithm can correctly use the results)

说明：  倒立摆试验用matlab模拟，PID处理器(simulated ann)

MB8四旋翼自动驾驶仪的源码，包括姿态采集，状态估计以及控制输出。不推荐直接使用，但是可以作为学习(MB8 four rotor autopilot source, including posture acquisition, state estimation and control output. Not recommended for direct use, but can be used as learning)

matlab实用程序百例。。。要的看看。。。。。。。。。(100 cases of matlab utility. . . Want to see. . . . . . . . .)

此书是关于数字信号处理的一些算法收集，很详细，全面。(This book is about the digital signal processing algorithms to collect some very detailed and comprehensive.)

used for image processing in matlab

Matlab和C的混编，用于SAR图像去相干斑，将处理加性噪声的BM3D推广到SAR。(Functions for Matlab for the denoising of a SAR image corrupted by multiplicative speckle noise with the technique described in "A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage", written by S. Parrilli, M. Poderico, C.V. Angelino and L. Verdoliva)

source code and research