LINEAL

卷积码的编码及解码代码，写的很清晰，很有借鉴作用(Convolutional Coding)

说明：  程序代码说明 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(Procedure Code Description P0201: MATLAB assignment P0202: MATLAB in the for loop P0203: MATLAB in the for loop and if condition P0205: MATLAB image processing basics P0206: MATLAB high-level image processing operations P0207: RGB image created according to a gray image P0208: binary image of the check against action P0209: use the imshow function to display images P0210: in the same window display two images)

说明：  matlab写的运动检测 自动实现 十分有用的代码 值得学习！(Motion detection matlab automatically write the code should be very useful to learn!)

激光位移传感器测量齿轮的数据，在数据中进行特征点提取算法。(The laser displacement sensor measuring gear data, feature points in the data extraction algorithm.)

通过matlab仿真，做出单相变压器不同负载性质的相量图(Matlab simulation, to make a single-phase transformer phasor diagram of the different nature of the load)

循环流化床锅炉燃烧过程的PID控制 其中包含了系统模型的前向解耦等(CFBB combustion PID control)

晶闸管控制串联电阻在500kv电力系统的matlab仿真中的应用。(Modeling and simulation of 500kv power system.The theoretical ground and design realization of alternating current power lines of the new type- Controllable Flexible A.C. Transmission Systems (CFACTS) are considered. Earlier lines of such type had been known as Controlled Self- Compensating High Voltage Transmission Power Lines (CSHVL), as well as Controlled Compact Transmission Power Lines. The CFACTS design principles and the basic CFACTS design directions are implemented. The basic characteristics of CFACTS (500kV) which are studying have great prospects. CFACTS(10, 35, 110 kV) which already built and maintained. )

MATLAB宝典(第3版)(含源码),对于想系统学习Matlab的童鞋很有用(A valuable book of MATLAB )

Feigenbaum this is development of matlab

data generation using matlab neural network