Physical_Modeling_in_MATLAB

说明：  低通滤波器 基于MATLAB的低通滤波器，Z变换实现(low-pass filter based on MATLAB low-pass filter, Z transform)

MATLAB源码，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(MATLAB source code, 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 (Butte)

说明：  实现数据误差的剔除、修正，曲线拟合，平缓。(Eliminate data errors, correction, curve fitting, flat.)

modelling and simulation rlc circuit

说明：  基于MATLAB的通信系统仿真　bpsk的仿真过程就是这样的 (MATLAB-based communications system simulation BPSK Simulation of the process is)

Servo motors and industrial

最优控制状态函数的例子，一般最优课程基本上都要留的作业(Optimal control of state function example, the general optimal course is basically to be left operating)

说明：  自己用matlab写的信号处理的程序，包括一些常用的处理手段，而在库里没有的(Using matlab to write their own signal processing procedures, including the handling of some commonly used tools, and in Curitiba, not)

简单的线性小波， 二尺度小波， 香农小波的实现源码(Simple linear wavelet two-scale wavelet, Shannon wavelet to achieve source)

This file does the detection of transitions in a video by comparing the levels of histogram intensity between two consecutive frames. It shows a plot with the high levels of intensity, and the frames where transitions take place.