资源列表
Laplace-sharpening
- 数字图像处理的laplace锐化，可以凸显图像的高频成分，比如边缘和突变点，是图像细节更加丰富-Digital image processing of laplace sharpening can highlight the high frequency components of the image, such as edges and mutations, which are more richer in image detail
CBF_N
- 不同阵元下窄带波束形成对比，对比了8/16/32/64阵元的波束形成-beamforming with different antennas
CBF_aper
- 阵元间距为不同波长下的窄带波束形成，分别是1/4，1/2，1，2倍的波长时候的波束形成-beamforming with different d
diff_snr
- 在不同信噪比的窄带波束形成，分别是从-5到20dB时候的波束形成-beamforming with different snr
beamforming_wide
- 时域上，用快拍延迟做的宽带的波束形成。五个阵元，三个延迟线。-wideband beanforming
Okumara
- okumara path loss model
drawvec
- matlab向量绘制，经过验证，正确运行-Matlab vector drawing, verified, run correctly
UCA_LCMV
- 八阵元均匀圆阵波束赋型LCMV算法，形成三维方向图-Eight-membered uniform circular array beamforming algorithm LCMV, a three-dimensional direction in FIG.
resampleMultinomial
- resampling of data for particle filter
resampleSystematic
- resampling using extended kalman filter
RF_Map_Build
- RF map build function for wireless localization
crossover2
- 关于微电网的一个程序，处理含有风电光电等多种能源的系统-A program on microgrids that deals with a variety of energy systems, including wind power and light