ZF_MMSE_LMS_SATO_CMA

  1.原始信号A，通过信道受噪声污染后的信号q，然后分别经过均衡器ZF（MMSE）得到信号U，可以画出U的分布图 2.分别应用LMS,SATO,CMA算法得到U。（其中包括最佳延迟、均方误差的计算）所有结果均以图像形式显示。(1. The original signal A, subject to noise pollution through the channel after the signal q, and then through the equalizer, respectively ZF (MMSE) receive the signal U, the distribution of U can draw Figure 2. Were applied LMS, SATO, CMA algorithm to be U. (Including the best delay, mean square error terms) all the results are displayed in graphic form.)