MATLAB-QIU-JIE-XUEYE

说明：  此为matlab教程范例，包括图像、小波分析、优化、神经网络、遗传算法及其他部分范例(This is an example of matlab tutorials, including images, wavelet analysis, optimization, neural networks, genetic algorithms and other parts of sample)

Matlab Tutorial for beginners

包括kf，ekf，pf，upf可以自己定制模型参数，完成滤波(ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation: Kalman filter Extended Kalman filter Sigma-Point Kalman filters (SPKF) Unscented Kalman filter (UKF) Central difference Kalman filter (CDKF) Square-root SPKFs Gaussian mixture SPKFs Iterated SPKF SPKF smoothers Particle filters Generic SIR particle filter Gaussian sum particle filter Sigma-point particle filter Gaussian mixture sigma-point particle filter Rao-Blackwellized particle filters The italicized algorithms above are not fully functional yet (or included in the current release), but will be in the next or future releases. The code is designed to be as general, modular and extensible as possible, while at the same time trying to be as computationally efficient as possible. It has been tested with Matlab 7.2 (R2006a). )

运用matlab编程实现ARX模型中的参数确定(ARX model)

针对模型中人为设定参数值的不合理性，对机动时间常数的倒数进行建模，提出新的模型，并给出相应的α-Jerk滤波算法。该模型在估计目标状态的同时，能够实时估计参数α的值。仿真结果表明α-Jerk模型比Jerk模型收敛速度更快，状态估计更精确。并与jerk算法进行了比较。(Artificially set for the model parameter values ​ ​ of the irrational nature of the reciprocal of the motor time constant modeling, and propose new models and the corresponding alpha-on Jerk filtering algorithm. The model to estimate the target state at the same time, real-time estimate of the value of the parameter α. The simulation results show that alpha-on Jerk model faster convergence than the Jerk model, state estimation more accurate. And jerk algorithm.)

这是一种ANT的旅行商的MATLAB的代码有用请下载(if it help,please go ahead)

matlab与其他原因的混合编程，很有用吧(combination of the matlab with other language)

matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)

说明：  时域同步平均算法，可以同来进行信号降噪，梳形降噪效果很好(The time-domain synchronous average algorithm can reduce the signal noise at the same time, and the comb shaped noise reduction effect is very good)

2009 Online blind image deconvolution for astronomy 源代码，多通道反卷积处理图像，远算速度比较快(2009 Online blind image deconvolution for astronomy source code, multi-channel deconvolution process images far faster calculation)