ARMA_AR_MA_-kalman

系统辨识与自适应控制程序 ，一个很小的.m文件(System identification and adaptive control procedure, a small. M file)

MIMO场景下的迭代SVD分解，用于得到最大的singular value(Iterative SVD in MIMO scenerio)

vc调用matlab引擎的，图文并茂的介绍操作步骤，并给出简单的调用程序(vc call matlab engine, illustrated introduction to the steps, and gives a simple procedure call)

it is cluster3 matlab code

GPM1002B0 初始化代码，颜色艳丽，可以直接使用(GPM1002B0 initialization code)

Abstract—A novel algorithm to remove rain or snow streaks a video sequence using temporal correlation and low-rank matrix completion is proposed in this paper. Based on the observation that rain streaks are too small and move too fast to affect the optical flow estimation between consecutive frames, we obtain an initial rain map by subtracting temporally warped frames a current frame. Then, we decompose the initial rain map into basis vectors based on the sparse representation, and classify those basis vectors into rain streak ones and outliers with a support vector machine. We then refine the rain map by excluding the outliers. Finally, we remove the detected rain streaks by employing a low-rank matrix completion technique. Furthermore, we extend the proposed algorithm to stereo video deraining. Experimental results demonstrate that the proposed algorithm detects and removes rain or snow streaks efficiently, outperforming conventional algorithms.

关于模式识别的套资料，包括了 c/matlab程序代码，欢迎大家来下载(With regard to pattern recognition sets of data, including the c/matlab program code, we are happy to download the)

详细的介绍了UKF算法在matlab中的实现过程，并有matlab测试例子，适合UKF初学者(Described in detail in the UKF algorithm in matlab implementation process, and matlab test case for beginners UKF)

独立向量分析（IVA）是对独立成分分析（ICA）算法的一种扩展，将ICA中的单变量成分扩展为多维变量成分，可有效避免卷积盲源分离过程中的排序模糊性问题。(Independent vector analysis (IVA), a multivariate extension of independent component analysis, tackles the convolutedly mixed blind source separation (BSS) problem in a way to avoid the permutation problem by employing a multivariate source prior of the short-time Fourier transform (STFT) components. )

超效率DEA，可直接运行，但要注意输入量和输出量矩阵的形式，详细见内部说明文档(Super efficiency DEA)