cloud

说明：  it is matlab source code implemeted in Matlab 7.6. this is utilized in matlab.

一个用于雷达成像的图像处理文件，无需输入可以直接在matlab 中生成图像(Image processing file for radar imaging, without the input image can be generated directly in matlab)

计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF = 10¡ 6，PD = 90 假设以下条件: (a) 信号不起伏 (b) 忽略天线波束调制 1 (c) 计算PD时忽略目标区以外噪声的影响 组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16) 求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。(Optimal threshold calculated as group slidable window detector is known: hit number N = 128, the group width n = 8, PF = 106, PD = 90 assuming the following conditions: (a) signal is not undulation ( b) ignore the antenna beam modulation 1 (c) the calculation of PD ignored outside the target area noise of impact group door limit (the second door limit) for K = 8 sliding window of the door limit (third door limit) for L = 16 (sliding window contains group 16) to solve: the best of the KOPT the LOPT, these questions do specific simulation to achieve. A friend in need, we must know to be useful.)

SVM工具箱，可用于混合编程，需要按说明先对matlab进行相应的配置[farutoUltimateVersion1.0](SVM toolbox)

Tracking by using Kalman filter

Thresholding of i/p image

动态PCA方法，引入动态时间l，考虑变量本身的时序自相关性，同时还分析变量之间的时序相关性,把PCA方法应用到动态数据矩阵。 (Dynamic PCA method, introducing dynamic time l, consider the timing of the variable itself autocorrelation, also analyzed the correlation between the timing variables, the PCA method is applied to dynamic data matrix.)

AHP层次分析法计算判断矩阵的最大特征值,是学习PCA特征提取的很好的学习资料，STM32制作的MP3的全部资料。( Calculate the maximum eigenvalue judgment matrix of AHP, Is a good learning materials to learn PCA feature extraction, STM32 all the information produced by the MP3.)

插值算法的源程序，采用matlab写的，对理解插值算法有很大的帮助作用。(Interpolation algorithm source code, using matlab to write, to understand interpolation algorithm has been very helpful.)

it describes the image analysis using matlab