In this paper, a new complex-valued blind equalization algorithm based on the feedforward neural network (N-FNN) is proposed.
提出了一种新的前馈神经网络(N - FNN)复值盲均衡算法。
The problem above can be resolved by the blind synchronization algorithm. The theoretic analysis and experimental results show that the approach can work well on the lower S/N ratio input signals.
理论分析及计算机仿真结果表明，该算法在低信噪比条件下可实现DS/SS信号的盲同步及PN码序列的精确估计。
The problem above can be resolved by the blind synchronization algorithm. The theoretic analysis and experimental results show that the approach can work well on the lower S/N ratio input signals.
理论分析及计算机仿真结果表明，该算法在低信噪比条件下可实现DS/SS信号的盲同步及PN码序列的精确估计。
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