A multistage soft decision equalizer based on minimum bit error rate principle is proposed in this paper for reducing computational complexity in communications.
针对通信系统中非线性均衡器的计算复杂度问题，提出一种基于最低误码率准则的多级软判决均衡器。
This paper presented a optimum linear multiuser detector in terms of minimum mean bit error rate, and given a approximate method of solving the detector - method of training single perceptron.
本文提出了平均误比特率最小意义下的最佳线性多用户信号检测器，并给出了求解这种最佳线性多用户信号检测器的近似方法——训练单层感知器法。
The minimum bit-error rate linear multiuser detection problem can be transformed to a bit-error rate cost function problem.
最小误码率线性多用户检测的问题可以归结为一个误码率代价函数的问题。
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