回声分类——回声波动统计

T. Stanton
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引用次数: 2

摘要

回声分类的广泛应用每个人都见过医学超声波中未出生婴儿的图像和雷达上即将到来的风暴云的天气图。这些技术的共同之处在于,它们都涉及对从传感器系统接收到的回波进行分类,这些传感器系统发出信号,并从感兴趣的物体接收回波。在每种情况下,回声都被分类为有意义的信息,就像声纳操作员如何监听敌方潜艇的回声一样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Echo Classification—Statistics of Echo Fluctuations
Widespread Use of Echo Classification Everyone has seen images of unborn babies from medical ultrasound and weather maps of incoming storm clouds from radar. What these technologies have in common is that they involve the classification of echoes received from sensor systems that send out a signal and receive echoes from objects of interest. In each case, echoes are classified into meaningful information, much like how a sonar operator listens for echoes from enemy submarines.
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