matlab-simulink

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

说明：  运用粒子群算法优化支持向量机的回归型预测实例(An example of regression prediction)

说明：  MATLAB 实现各向异性扩散的canny边缘检测，检测效果十分好(MATLAB realization of anisotropic diffusion of canny edge detection, test results are quite good)

OPENCART V1.56 中文使用说明书，主是要讲怎么配置商城。(OPENCART V1.56 Chinese instructions for use, the main is to tell how to configure the mall.)

基于matlab，实现滚动时域估计算法（MHE算法），将估计问题转化为优化问题，基于粒子群算法求解最优解，结合惩罚函数法来处理带约束的优化问题(Optimization based on matlab, realize moving horizon estimation (MHE algorithm), the estimation problem into an optimization problem solving the optimal solution based on particle swarm algorithm, combined penalty function method to deal with constraints)

说明：  kmeans聚类分析，无监督学习实现Matlab代码(Kmeans clustering analysis, unsupervised learning implementation of MATLAB code)

Smooths scattered normally distributed data with a P-spline

说明：  FM调制模型,用simulink做的，希望与大家交流，共同进步。(fm modulation model in matlab/simulink)

This set of files enables working more easily with functions of functions for concise and powerful code. A few highlights of this way of working: * Map multiple inputs to multiple functions and assign multiple outputs with a single line. * Use conditionals (like "if"), loops, and recursion in anonymous functions.

3维重建(MATLAB) 【浙大计算机视觉大作业】(reconstruct the 3D coordinates [the homework of the class：computer vision ZJU ])