PIDmatlab

MATLAB程序 根据RGB图像创建一幅灰度图像(MATLAB program to create a gray scale image according to RGB image)

Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment

matlab图像配准 红外可见光图像配准的详细方法 (matlab Visible Infrared image registration image registration detailed methodology)

使用MATLAB进行图像的边缘提取，对于毕业设计有一点帮助(Using MATLAB for image edge extraction, there is little help for graduation)

sourcecode matlab for detection noise by using image processing

空间谱估计算法中MUSIC解相干算法中的后向平滑空间算法，提高了MUSIC算法对解相干信号的估计性能(MUSIC spatial spectrum estimation in the post-Coherent algorithm space algorithm to smooth and improve the MUSIC algorithm for coherent signal estimation performance)

MATLAB提供了各种曲线拟合方法，例如：Exponential, Fourier, Gaussing, Interpolant, Polynomial, Power, Rational, Smoothing Spline, Sum of Functions, Weibull等，当然，也可以使用 Custom Equations. cftool不仅可以绘制拟合后的曲线、给出拟合参数，还能给出拟合好坏的评价参数(Goodness of fit)如SSE, R-square, RMSE等数据，非常好用。但是如果我们已经确定了拟合的方法，只需要对数据进行计算，那么这种GUI的操作方式就不太适合了，比如在m文件中就不方便直接调用cftool。 (matlab has given a lot of method for curve combine ,we will give a new method and provide a matlab code.)

SNM支持向量机预测，回归分析,数据预测。实验验证(SNM prediction, support vector machine regression analysis)

用于目标跟踪，目标检测后用meanshift方法进行跟踪(For target tracking, target detection method after the track with meanshift)

doarima.m MATLAB script to do an ARIMA(p,d,q) analysis where d is set but P and q can be vectors of values you want to try. It produces AIC and FPE (final prediction error) values for comparing models. The AIC is different than the one computed by S+, but they both minimize on the same model for the arma22.dat simulated data.