yingbianfanshepu

Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.

电波信号的相关信分析，包括时间，空间，频率(the relation of the radio signal)

travel saleman problem

统计输入字符数量，并将它显示出来。。。。渣软件，不喜勿喷(Statistical number input character, and will it show up... Slag software, don t like do not spray)

ML decoder for QPSK signal to find symbol error rate.

sar-sp-matlab小程序sar-sp-matlab小程序sar-sp-matlab小程序sar-sp-matlab小程序(sar-sp-matlab applet sar-sp-matlab applet sar-sp-matlab applet sar-sp-matlab applet)

多流形PCA是学习多流形的基础，能够帮助理解多流形过程！(The more manifold PCA is learning the basis of multi-manifolds, manifold process can help understand!)

MATLAB编程实现连续断层工业CT图像的三维重建()

三维电磁场FDTD程序（3D-FDTD matlab）PEC边界( 3-D FDTD code with PEC boundaries )

matlab PPT教程 电子工业出版社 罗建军 主编(matlab PPT tutorial)