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Habituation Based on Spectrogram Analysis

机译:基于谱图分析的习性

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摘要

In this paper we present a habituation mechanism which includes a modification of the Stanley's habituation model with the addition of a stage based on spectrogram to detect temporal patterns in a signal and to obtain a measure of habituation to these patterns. This means that this measure shows a saturation process as the pattern is perceived by the system and when it disappears the measure drops. The use of the spectrogram simplifies the detection of the temporal patterns which can be detected with naive techniques. We have carried on some experiments both a synthetic signal and real signals like readings of a sonar in a mobile robot.
机译:在本文中,我们提出了一种适应机制,其中包括对Stanley适应模型的修改,其中增加了一个基于频谱图的阶段,以检测信号中的时间模式并获得对这些模式的适应性度量。这意味着该度量显示饱和过程,因为系统会感知到该模式,并且消失时度量下降。频谱图的使用简化了时间模式的检测,这些时间模式可以通过朴素的技术来检测。我们已经进行了一些实验,包括合成信号和真实信号,例如移动机器人中声纳的读数。

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