unsat2d

说明：  MIMO块对角化预编码技术源代码，以及将该方法与VBLAST技术结合起来。(Block diagonalization precoding MIMO technology source code, as well as the methods and VBLAST technologies.)

m file to convert Lat Long geodetic coordinate system to Cartesian

matlab的遗传算法源代码 matlab的遗传算法源代码(matlab的遗传算法源代码matlab的遗传算法源代码)

水平分割相关文档 可实现定位边缘检测等功能(lever-set)

高光谱遥感影像端元提取算法，采用单形体体积最小为准则(N-FINDR algorithm for endmember extraction using hperspectral remote sensing data)

CVPR 2014上的关于图像显著性区域的检测matlab代码。(Wangjiang Zhu, Shuang Liang, Yichen Wei, and Jian Sun. Saliency Optimization from Robust Background Detection. In CVPR, 2014.)

产生模拟的GPS信号，可以研究与GPS信号相关的算法(Generating an analog GPS signals, the GPS signals can study related algorithms)

pilot based ofdm signal

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

matlab/simulink环境下的两电平svpwm逆变仿真(Simulation of two level SVPWM inverter under matlab/simulink environment)