Abstract The field of data compression has been evolved over the last decades. In this way, several techniques to reduce the amount of acquired data from the sensor required to be transmitted have been developed. Those techniques are usually classified by lossless or lossy, where, for the lossless techniques, all acquired data is recovered, while the lossy techniques introduce errors to these data. Each of these techniques presents advantages and drawbacks, being the analyst responsible for choosing the appropriate technique for a specific application. This work presents a comparison study using Vorbis lossy audio format with a low pass filter and a custom psychoacoustic masking curve to reduce the error in compressing a vibro-acoustic signal from a launch vehicle.

中文翻译：

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运载火箭声学数据压缩研究

摘要 数据压缩领域在过去几十年中得到了发展。通过这种方式，已经开发了多种技术来减少从传感器获取的需要传输的数据量。这些技术通常按无损或有损分类，其中，对于无损技术，所有获取的数据都被恢复，而有损技术则对这些数据引入错误。这些技术中的每一种都有优点和缺点，分析人员负责为特定应用选择合适的技术。这项工作展示了使用 Vorbis 有损音频格式与低通滤波器和自定义心理声学掩蔽曲线的比较研究，以减少压缩来自运载火箭的振动声学信号的错误。