Image_matching_Tool

文章介绍了卫星多传感器数据融合研究，比较详细(This paper introduces the satellite multi-sensor data fusion research, more detailed)

Matlab高级学习教程：熟悉基本矩阵运算、作图等便可开始此教程。(Matlab Advanced Learning Tutorial: familiar with the basic matrix operations, mapping, etc. can start this tutorial.)

单目标多传感器，卡尔曼算法实现matlab源程序 (Single target multi-sensor, kalman algorithm matlab source )

Motion Detection of object and tracking the features

Chicken Swarm Optimization（CSO）鸡群优化算法，2014年提出的群智能优化算法。 Bird Swarm Algorithm（BSA）鸟群算法，2015年最新的群智能优化算法。 作为两种全新的群智能优化算法，CSO和BSA都具有简单，良好扩展性的特点，是天然的多种群算法！ http://cn.mathworks.com/matlabcentral/profile/authors/3317597-xian-bing-meng 有关算法信息，可在上述网站查询。 希望对大家有用！ (Attachment is a file containing two demos for the nature-inspired algorithms, Chicken Swarm Optimization (CSO) and Bird Swarm Algorithm (BSA), which are proposed in 2014 and 2015, respectively. With the merits of innate multi-swarm and self-adaptive algorithms, the two new metaheuristic algorithms may show their superiorities over some other metaheuristic algorithms.)

FDTD analysis of square square area

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

基于压缩感知的随机噪声成像雷达.pdf 一篇关于压缩感知应用文章(Random Noise Imaging Radar Based on Compressed Sensing)

一种改进的LSB Steganography 以抵抗“RS分析法”和GPC Steganalysis(LSB Steganography against RS and GPC)

说明：  RD成像雷达干扰，基于MATLAB的成像算法，有关雷达干扰欺骗模型，sar成像，多普勒雷达(Rd imaging radar jamming, imaging algorithm based on MATLAB, radar jamming deception model, SAR imaging, Doppler radar)