many-optimation-algorithm

This code implements the concept of content based image retrieval concept using the technique described in The Application of DWT and SVD in Image Retrieval.

说明：  用小波和小波包对太阳黑子数据进行降噪处理(Using wavelet and wavelet packet noise reduction processing on the sunspot data)

ECG_Decoder of ecg wavform

matlab图像处理的几个程序 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 several image processing procedures 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 03)

用Python语言编写的改进的人工势场法代码。解决了目标不可达问题。(The improved artificial potential field code written in Python language. The problem of inaccessibility of goals has been solved.)

说明：  使用LazySnapping算法对GrabCut算法进行改进(There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.)

传递矩阵法计算梁的横向振动频率，各种边界条件(Frequency calculate by TMM for beam vibration, free-free boundary conditions, simply supported)

两种控制方式的性能比较:模糊控制与PID控制(two ways to control the performance comparison : fuzzy control and PID control)

先进pid matlab 仿真 刘金琨 第版 第一章程序 pid matlab simulink liujinkunc hap01_11.rar

包括主成分分析、因子分析、贝叶斯分析，采用的是通用的平面波展开法,合成孔径雷达（SAR)目标成像仿真。( Including principal component analysis, factor analysis, Bayesian analysis, Using common plane wave expansion method, Synthetic Aperture Radar (SAR) imaging simulation target.)