fireplot

光学位相相关API，小型函数，希望可以通过(optical phase API)

this package is binary Decision Tree code implement in matlab.

用批处理最速下降法训练网络，利用Matlab Script节点实现在此以对一个非线性函数的逼近作为例子来说明 (Batch steepest descent method to train the network to use Matlab script node to achieve this as an example of a nonlinear function approximation to illustrate)

l1范数跟踪算法，很多详细注释，可以直接使用，论文得从新下载(The l1 norm tracking algorithms, a lot of detailed annotations, can be used directly, the papers the new download)

基于LSB的直接4bit替换法，就是直接用秘密图像像素值的高4bit去替换载体图像像素值的低4bit。 (Direct 4bit substitution, that is, the direct use of the secret image pixel values of the high-4bit image pixel value to replace the carrier' s low 4bit.)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

卡尔曼滤波程序的滤波程序分手那疯了数据分类开始的杰弗里斯(kalman filter)

实用最优化方法中的经典题目，包含DFP算法、共轭梯度法、内点法、阻尼牛顿法、最速下降法,都要求在matlab软件下执行，有正确结果输出。(The classical topics practical optimization method, including the DFP algorithm, conjugate gradient method, interior point method, damped Newton method, the steepest descent method, are required to perform the MATLAB software, the correct output results. )

Cuckoo search (CS) is an optimization algorithm developed by Xin-she Yang and Suash Deb in 2009.[1][2] It was inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host birds can engage direct conflict with the intruding cuckoos. For example, if a host bird discovers the eggs are not their own, it will either throw these alien eggs away or simply abandon its nest and build a new nest elsewhere. Some cuckoo species such as the New World brood-parasitic Tapera have evolved in such a way that female parasitic cuckoos are often very specialized in the mimicry in colors and pattern of the eggs of a few chosen host species [3]

用Matlab语言实现通信系统的后处理功能(Language communication system using Matlab post-processing functions)