系统软件应包括对回声消除的支持,以处理快速收敛时间 (convergence times)、含糊其词的通话检测以及当用户在仓库、医院或其家中等不断变化的环境中移动时所产生的背景噪声。
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It is shown that this method possesses global convergence and the penalty parameters are adjusted only finite times under mild conditions.
在较为温和的条件下证明了方法的全局收敛性,及罚参数只需进行有限次调整。
Comparing with impulse radar, this method can greatly improve the signal to noise ratio (SNR), the convergence speed is quick, and iterative times are less than 10.
与冲激雷达相比,这种方法能显著提高信噪比,并且这个方法的收敛速度快,一般迭代10次以内即达到稳定。
It is shown that, compared with the results from traditional BP neural network, the average error rate is reduced by 1% and the convergence speed raised by 3 times.
结果表明,小波神经网络方法比传统BP网络方法平均预测误差减小了1%,收敛速度加快了3倍。
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