DevelopmentandImplementationofanANN-Based

ISAR雷达回波距离单元校正方法研究，可以用matlab实现(ISAR radar echo from the unit correction can be implemented using matlab)

自己编写的 混洗蛙跳算法优化最小二乘支持向量机参数 把文件里的数据、LSSVM模型更换，就可以移植(written by Son.Y.M Shuffled frog leaping algorithm to optimize the parameters of LS-SVM The data in the file, LSSVM model replacement, you can transplant)

无线通信领域的多径洒落源码程序，值得参考(The field of wireless communications multipath洒落source program, it is also useful)

带有同步模块的uwb仿真平台，simulink搭建。扩展性较好(Synchronization module with UWB simulation platform, simulink structures. Better scalability)

完全适用于摄影测量解析相对和绝对定向的matlab程序文件(Absolute Orientation & Relative Orientation)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

此代码是用来绘制椭圆的，能够在matlab的编程环境下实现椭圆的绘制(This code is used to draw the ellipse, and able to achieve matlab programming environment to draw the ellipse)

克里金算法的matlab版本，拥有着良好的编程手法，用法简单使用(Kriging algorithm)

Overview and Simulation of Indoor MIMO Systems In Matlab

This program is implementation of independent component analysis for seperated some mixture of independent signal. In this program you can generate some mixing signal and then separated width independent component analysis algorithm