实验表明：该方法能够有效预测非平稳的服务器负载序列，预测精度明显高于传统预测方法。

Experiments results show that this method can predict non-stationary server load series efficiently and has higher prediction accuracy than traditional methods.

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在考虑多通道非平稳信号干扰及背景噪声的情况下，提出了基于自适应参数型时间延时估计方法。

Taking into account the multi channels disturbance and noises with the non stationary characteristic, time delay estimation based on adaptive parametric approach is proposed.

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实验结果表明，该法是分析处理具有时变谱特性的非平稳信号的一种有效方法。

Experiments show that the technique is effective for processing unstable signals of time-variation spectra.

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