changeFrequence

说明：  本书以控制系统和控制原理为主线，以控制原理和系统的实际示例为基础，介绍MATLAB语言在控制系统分析、设计中的应用，内容涉及经典控制理论和现代控制理论的基础部分。(Book control systems and control theory as the main line, principles and systems to control the actual examples, the paper introduces MATLAB language in the control system analysis, design, content related to the classical control theory and modern control theory based Bufen.)

基於遗传粒子群的最新改进算法基於遗传粒子群的最新改进算法(The latest improvements in genetic particle swarm algorithm )

余数定理用于多基线相位干涉仪的解模糊中要求基线关系互质(Remainder theorem for the solution of multi-baseline interferometer fuzzy requirements baseline relations coprime)

信息论的实验，一个可以直接运行的程序，相信对您会有帮助(xinxiluj)

Image Demosaicing by nearest-neighbor interpolation method

matlab ods tp facile

核极限学习机，引入核函数解决ELM求解问题，一旦参数选定，结果就稳定下来，不再混入随机。在原来版本上加入自己理解改写，使得代码更容易理解。(Kernel extreme learning machine, kernel function is applied to deal with ELM to solve the problem, once the parameters selected, the result is stabilized, not randomly in the original version on becoming a member of their understanding, makes the code easier to understand)

matlab code for Blackman Window....

这是一种二阶盲源分离算法，算法速度快，程序简单。(This is a second-order blind source separation algorithm, the algorithm fast, simple procedure.)

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.