multivariate-grey-prediction-model-

说明：  这是一个混沌理论中重要的Logistic映射的程序。通过曲线很容易看到奇妙的混沌现象(This is a chaos theory important Logistic mapping procedures. Through curve is easy to see the amazing phenomenon of Chaos)

matlab gui设计学习手册》 第二版 2012新版 第九章源码 matlab gui the second edition(matlab gui the second edition)

matlab基础课件 ，包含matlab基本命令教学(matlab basic courseware contains Matlab basic commands teaching)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)

利用matlab实现自适应滤波，内还包含卡尔曼滤波的小案例，仅供参考(Using matlab to achieve adaptive filtering, Kalman filtering is also included a small case for reference purposes only)

MATLAB CODE FOR INFORMATION THEORY AND CODING

说明：  对于给定的多个优化目标，用fgoalattain函数，解决简单的多目标规划问题(For a given number of optimization goals, with fgoalattain function, multi-objective programming to solve simple problems)

通过MATLAB软件所建立的CRH2动车的模型。(Established through MATLAB software model CRH2 EMU.)

用于图论里面求最小着色数，这么长可以了吗？？？？？(my english is really poor, dunt know how to translate it)

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).