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卫星姿态确定及敏感器误差修正的滤波算法研究。介绍了几种不同的滤波算法，如卡尔曼滤波，扩展卡尔曼滤波，粒子滤波等在姿态确定上的应用，并比较了它们仿真的结果(Satellite attitude determination and sensor error correction filtering algorithms. Introduced several different filtering algorithms, such as Kalman filtering, extended Kalman filter, particle filter, such as in the attitude determination applications, and compare their simulation results)

matlab file for image processing

bouckground substruction

LFM的脉冲压缩，即匹配滤波器的产生，并给出了压缩后的仿真波形。(LFM pulse compression, that is, the selection of matched filter, and gives the simulation waveforms compressed.)

改进的蚁群算法，加入了变异因子，产生变异，从而更快的收敛。(Improved ant colony algorithm, joined the variation factor, mutate, and faster convergence.)

聚类小生境遗传分类算法Cluster niche genetic classification algorithm(Cluster niche genetic classification algorithm)

利用PSO算法优化SVM向量机参数。测试指标为MAPE和均方根误差。(Optimization of SVM Parameters by PSO Algorithm. The test indexes are MAPE and root mean square error.)

功率谱仿真，用于仿真信号功率谱，对于学习信号与导航功率谱的计算有一定帮助(Power spectrum emulation of signal power spectrum, for the calculation of the power spectrum of learning and navigation signals have some help)

说明：  matlab下KL变换,用于去除随机噪声(KL transform)

这是初学真学习SINS的好程序，里面有较详细的注释，方便读懂程序。(This is a good beginner really learn SINS program, which has more detailed notes, easy to read program.)