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用matlab程序编写的，用于计算机视觉或摄影测量中图片的特征点提取。(Using matlab programming, for computer vision or photogrammetry image feature extraction.)

利用复自相关法求取混沌时间序列的时间延迟（tau），求取算法效率高且准确(Complex strike a chaotic time series autocorrelation time delay (tau), to strike a high efficiency of the algorithm and accurate)

matlab实用程序百例，新手上手必背，让你快速掌握matlab的使用，推荐！(matlab utility 100 cases, should ? novice get started, let you quickly master the use of matlab, recommended!)

amplitude modulation

for voltage stability PCA matlab pudn

详细介绍了如何使用快速独立成分分析工具箱，包括配套的工具箱也可下载使用(Details on how to use fast independent component analysis toolbox, including supporting the toolkit can be downloaded using the)

一个matlab编程求取李雅普诺夫指数的大概汇总，可供编程参考(A matlab programming to obtain the Lee Yap Andrianof indices about summary, for programming reference )

波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

简单的DMC以及MPC控制代码和说明都有，不错的学习参考(Simple DMC and MPC control code and instructions are available, good learning reference)

LTE for UMTS OFDMA and SCFDMA Based Radio Access