simulink

MATLAB关于绘图的设置与调整，这里主要举了一个列子说明，包括xy轴的比例、字号、线宽等(related about setting and adjustment of the graphic in matlab)

关于迭代学习的比较好的文章，迭代学习在间歇过程中的控制研究(Good article on the iterative learning)

这是一个压缩奇异值分解算法。该算法将一个矩阵进行奇异值分解。CSVD Compact singular value decomposition(This is a compression algorithm for singular value decomposition. The algorithm is a matrix singular value decomposition. CSVD Compact singular value decomposition)

this code will help you to Compute a discrete-time transfer function to approximate a distributed LPF

用Matlab编写的功率谱估计，输入数据是100年太阳黑子活动记录，用周期图法、最大熵值估计（AR法及Burg法），画出信号功率谱进而算出太阳黑子活动周期。(Matlab prepared using power spectrum estimation, input data is 100-year record of sunspot activity, using periodogram method, the estimated value of maximum entropy (AR Law and Burg method), draw the signal power spectrum and then calculate the sunspot activity cycle.)

对matlab有很好的学习帮助，是很好的matlab经典教材。(On a good learning matlab help matlab is a very good classic textbook.)

In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients by the dual-tree complex wavelet transform (DTCWT). Then, the high-frequency coefficients are fused by the maximum selection fusion rule. The low-frequency coefficients are fused by weighted average method based on regions, and the weights are estimated by the PSO to gain optimal fused images. Finally, the fused image is reconstructed by the inverse DTCWT. The experiments demonstrate that the proposed image fusion method can illustrate better performance than the methods based on the DTCWT, the support value transform (SVT), and the nonsubsampled contourlet transform (NSCT).

可以实现血管增强滤波，首先运行初始化文件，然后运行主函数文件（论文参考：Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux）(Vascular enhancement filtering can be achieved, first run the initialization file, and then run the main function file)

optical CHARACTER RECOGNITION with important diagrams.

A matlab example of k means clustering