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GENERALIZED MINIMUM SYMBOL ERROR RATE FOR SYMBOL-RATE AND FRACTIONALLY-SPACED EQUALIZATIONS

机译:符号率和分数空间均衡的广义最小符号错误率

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摘要

Using a generalized formula for the decision error probability is derived for an M-ary PAM system. The gradient method, which we termed GMSER, is derived to minimize the symbol error rate for linear equalization. Comparisons made between the GMSER algorithm and the MMSE criterion show that the minimum symbol error rate criterion outperforms the minimum mean-squared error criterion. Then, comparisons between GMSER and AMBER as proposed by Yeh and Barry is also made. Fiannlly, an extension of the GMSER algorithm employing fractionally-spaced equalization is presented with mathematical formulations.
机译:对于Mary PAM系统,使用通用公式得出决策错误概率。得出了我们称为GMSER的梯度方法,以最小化线性均衡的符号错误率。 GMSER算法和MMSE准则之间的比较表明,最小符号错误率准则优于最小均方误差准则。然后,也进行了Yeh和Barry提出的GMSER和AMBER之间的比较。最后,通过数学公式介绍了采用分数间隔均衡的GMSER算法的扩展。

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