One is solving the QPSK NDA maximum likelihood equation by gradient approximation, which has better convergence performance than other methods.

 
  • 一種是基于NDA(Non-Data-Aided)最大似然估計的梯度迭代求解方法,這種方法與其它迭代方法相比,具有更好的收斂性能。
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