autopwm

matlab例程，根轨迹，微分方程等 (Matlab routines, root-locus, differential equations, etc.)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(P0301 : digital image data matrix display and Fourier Transform P0302 : Two-dimensional discrete cosine transform image compression P0303 : Gray used a new method to enhance the contrast of the image P0304 : histogram equalization P0305 : Simulation images by white Gaussian noise and Impulse noise impact P0306 : 2D median filtering function medfilt2 right by the Salt and Pepper image noise filtering P0307 : MATLAB filter2 the function of noise interference by the image filtering P0308 : Image Adaptive Filter Weiner P0309 : use five different gradient Enhancement Act for image sharpening P0310 : Images of the high-pass filtering and mask handling P0311 : use Butterworth (Butterworth) low-pass filter to noise interference by the image smoothing P 0312 : Butterworth (Butterworth) high-pass fi)

视频运动估计中快速块匹配方法　新三步搜索(The video motion estimation based on fast block matching New Three Step Search)

matlab通讯原理的应用，适合初学者学习，很详细，还不错的咯。。(matlab communication principle, suitable for beginners to learn, in great detail, pretty good slightly. .)

matlab入门教程，适合于初学者，是值得看的好讲义。(this is perfect material of matlab.it s good for you.)

二自由度重型汽车整车模型，用Simulik搭建的，根据余志生的第五章(DOF；Two degree of freedom model of heavy automobile)

并联机器人源程序，对于研究机器人的朋友很有用(parallel robot source for research robots useful friends)

说明：  用于飞行器自动控制的算法计算， 融合三轴加速度计和三轴陀螺的数据融合计算，得出飞行姿态(For aircraft automatic control algorithm, integrated three-axis accelerometer and three-axis gyro data fusion calculations, flight attitude)

Synchronization and partial synchronization of linear maps

该代码用于读取雷达数据，绘出雷达图形，用于诊断天气过程(the function of the code is to read the radar data)