这个叫t[适应性]的参数是用来决定网络分析的适应时间的。这个参数的调整有点大约近似于调整那个声音信号所带混响的尾巴长度。

This determines the adaptation time of the analysis network ("forgetting factor"). The setting of this parameter should be approximately equal to the reverb tail length of the signal.

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本文讨论了能量受限下，以最大检测指数为最优化准则，在混响环境中缓慢起伏点目标检测的最佳信号设计问题。

This paper is concerned with the optimum waveforms foe detection in reverberation environment, under a maximum detection factor criterion with an energy constraint.

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混响背景下目标信号的检测、降噪方法与实现，一直以来都是一个难题。

The method for detection, denoise and realization of signals in chaotic background is difficult.

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