obs_lo_withfault

一个用matlab编写的最近邻插值法求图像的范大于缩小的小程序(Matlab prepared using a nearest neighbor interpolation for images larger than narrow the scope of small programs)

说明：  qr变换和householder求特征值的算法，可与matlab结果比对(qr transform and householder eigenvalue algorithm, the results compare with matlab)

学习向量量化神经网络模型与学习算法及MATLAB实现(Learning vector quantization neural network model and learning algorithm)

逆合成孔径雷达（ISAR）具有远距离、全天候、全天时工作等优点，目前通过ISAR成像来进行目标识别已得到广泛的应用。ISAR的观测对象是非合作目标，因此ISAR成像具有深远的国防应用背景，受到各国的重视，是竞争激烈、发展迅速的技术领域。(Inverse Synthetic Aperture Radar (ISAR) has a long-range, all-weather, all-time work, etc, currently conducted by ISAR imaging for target identification has been widely used. ISAR target non-cooperative target observation, it has far-reaching defense ISAR imaging application background, attention all, is highly competitive, rapidly developing technology.)

EOF,气象中用来分析主分量的工具。也叫主分量分析。(EOF useful)

matlab 下基于近邻函数值法则的聚类算法(Matlab-based neighbor function of the clustering algorithm rules)

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)

利用matlab演奏的生日快乐歌，别有一番风味，不妨一听(Using matlab played Happy Birthday, do not have a flavor, might one)

这是一个非常好用的 雷克子波 成像的matlab程序 个人引以为豪，我爱他(it is good)

状态完全可测时，基于Lyapunov稳定性理论的模型参考自适应控制(When the state is completely measurable, Lyapunov stability theory based model reference adaptive control)