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ZF_MMSE_LMS_SATO_CMA

于 2010-01-05 发布 文件大小:800KB
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  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.)

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