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强大机器人编码程序，设计移动有很大帮助这领域发展(powerful robot motion is really and powerful programming to develop this fileds)

最好邻居选择策略来改善移动自组织网络中自私节点的合作行为，通过matlab做的仿真实验。(Best neighbor strategy to enforce cooperation among selfish nodes in wireless ad hoc network)

有限元 剖分------matlab 实现有限元四面体剖分(Finite element triangulation------ matlab finite element tetrahedralization)

捷联惯性导航解算程序，内附实实测数据与说明文档可直接使用。 (Strapdown Inertial Navigation solver, included the actual measured data and documentation can be used directly.)

最基本的粒子群算法实现的数据聚类，超简单，觉得对初学者有用(The most basic particle swarm data clustering algorithm, super-simple, feel useful for beginners)

自己写的基于MATLAB的低通滤波器的设计小程序(Design of LPF)

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).

to simulation FFT and IFFT using matlab

The ridgelet transform (Candµ es and Donoho, 1999) was introduced as a sparse expansion for functions on continuous spaces that are smooth away discontinuities along lines. Our construction uses the ¯ finite Radon transform (FRAT) as a building block. Taking the one-dimensional wavelet transform on the projections of the FRAT in a special way results in the ¯ finite ridgelet transform (FRIT), which is invertible,non-redundant, and computed via fast algorithms.

在matlab开发软件中，利用相关函数求两个信号的时间延迟。(In matlab software development, the use of correlation function of the two signals time delay.)