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  • 匿名
关注:1 2013-05-23 12:21

求翻译:正如前面提到的,每一次前端均衡运算之后紧跟着几次后端的CPM解调和译码迭代。从而改善均衡器的软输入信息。这样,在初始均衡迭代时,利用没有先验信息的时不变均衡系数,而在后续迭代中采用具有完全先验信息的均衡器系数是可行的一种方案,而不需要利用式()的精确计算式。是什么意思?

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正如前面提到的,每一次前端均衡运算之后紧跟着几次后端的CPM解调和译码迭代。从而改善均衡器的软输入信息。这样,在初始均衡迭代时,利用没有先验信息的时不变均衡系数,而在后续迭代中采用具有完全先验信息的均衡器系数是可行的一种方案,而不需要利用式()的精确计算式。
问题补充:

  • 匿名
2013-05-23 12:21:38
As mentioned earlier, each time the front-end balanced computation is followed by several back-end the cpm demodulation and decoding iterations. Thereby improving the soft-input information of the equalizer. In the initial equilibrium iteration, there is no a priori information, time-invariant equil
  • 匿名
2013-05-23 12:23:18
As mentioned previously, each time after OP front-end balance followed by several back-end of CPM demodulation and decoding iterations. To improve balance, soft input information. In this way, the initial balance, when iterating through when there is no a priori information of the balance factor is
  • 匿名
2013-05-23 12:24:58
Just like front mentions, each front end balanced operation is afterwards following close on several rear end CPM demodulations and the decoding iteration.Thus improvement balancer soft infed information.Thus, when initial balanced iteration, the use does not have the apriori information time invari
  • 匿名
2013-05-23 12:26:38
As mentioned earlier, each front-end balanced operation closely followed by several back-end CPM after demodulation and decoding iterations. To improve the balance of the soft input information. In this way, at the time of initial equilibrium iterative, use when there is no a priori information unch
  • 匿名
2013-05-23 12:28:18
正在翻译,请等待...
 
 
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