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Analysis of frequency content of temperature glider data via Fourier and wavelet transforms

机译:通过傅立叶和小波变换分析温度滑翔机数据的频率含量

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摘要

A methodology to analyze the spectral content of glider data is proposed by showing the application to time series taken during missions in the Mediterranean Sea. Three missions have been investigated, two in the Tyrrhenian Sea and one south of Cyprus. Fluctuations appearing in temperature series recorded by gliders are studied with the help of the Fourier and wavelet transforms. The Fourier transform has been used to localize high energy in a certain range of frequencies, which is limited by the experimental setting or sampling rate. The obtained information together with additional analysis via the wavelet transform provide a way to localize these features in time and in space, allowing a better understanding of their nature and physical meaning.
机译:提出了一种分析滑翔机数据的光谱含量的方法,示出了在地中海任命期间拍摄的时间序列。 三个任务已经被调查,两个在Tyrrhenian海和塞浦路斯南部。 在傅立叶和小波变换的帮助下,研究了滑翔机记录的温度系列中出现的波动。 傅里叶变换已被用于在一定频率范围内定位高能量,这受实验设置或采样率的限制。 通过小波变换将所获得的信息与额外的分析一起提供了一种在时间和空间中定位这些功能的方法,从而更好地了解他们的性质和物理意义。

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