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有关matlab的一些文章,希望对大家有帮助(Some of the matlab article, we want to help)

本论文的主要工作在于引入了一种新的特征提取方法----独立分量分析。独立分量分析的根本原理是通过分析多维观测数据间的高阶统计相关性，找出相互独立的隐含信息成分，完成分量间高阶冗余的去除及独立信源的提取(In this paper, the major work is the introduction of a new method of feature extraction independent component analysis. Independent component analysis of the fundamental principle is that through the analysis of multi-dimensional data between the relevance of higher-order statistics, independent of each other to identify the implied message composition, the completion of inter-component higher-order removal of redundant and independent source extraction)

A multi-target tracking toolbox based on the MTT Library of the InstantVision ISE with expanded functionality and tools for off-line design, analysis and testing. The toolbox contains the implementation of distance calculation methods (e.g. city-block based), data assignment and association strategies (e.g. ENN and JVC), state prediction filters (e.g. IMM) with video marking and debugging tools in order to support a complex multi-target tracking system design.

雷达或移动通信中的阵列信号处理程序，子空间MUSIC算法，MVDR算法，强相关信号的分离演示等等。(Radar or mobile communication array signal processing, subspace MUSIC algorithm, MVDR algorithm, strong correlation signals seperation ,and so on.)

说明：  这份资料是关于MATLAB的初级介绍，对于初学者非常实用，如果想快速学会使用matlab,建议大家先看看这份资料。谢谢！(This information is on the MATLAB primary introduction is very useful for beginners, if you want to quickly learn how to use matlab, suggest that you take a look at this information. Thank you!)

插值计算 底质遥感反射率 水面之下遥感反射率(interp1 bottom reflectance underwater irradaince reflectance)

Matlab+GUI编程英文参考手册，讲的很具体，老外的东西(Reference of MATLAB)

用matlab代码写的最炫民族风，代码详细，可直接运行。(Matlab code to write the most unusual national wind code in detail, can be run directly.)

SVPWM的matlab仿真模型，基于simulink搭建，完美实现两电平逆变输出。附带svpwm算法及实现过程，适合自学研究。(SVPWM matlab simulation model, based on simulink structures, the perfect realization of two-level inverter output. With svpwm algorithm and implementation process, suitable for self-study.)

这是最简洁，注释得最好的HOG(Histogram Oriented Gradient)算法的matlab实现。可用于行人识别和物体跟踪。(This code is well commented, which enables the adjusting of the HOG parameters. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable Classifier-Fusion Schemes: An Application To Pedestrian Detection, In: 12th International IEEE Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437.)