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Selection on Wavelet Base for The Detection of ship pitching Movement Disturbances

机译:基于小波基的船舶俯仰运动扰动检测

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wavelet analysis is becoming a useful tool because it allows the decomposition of data functions into different frequency or scale components.Accordingly wavelet transforms are to be suited to analyze short-timed high-frequency phenomena.The remarkable ability of wavelets to highlight the singularities associated with shocks present in the ship pitch field is explored.In the detection of ship pitch disturbance,It was observed in the singularity signal the sharp points were located at the position responding to the end or the start of disturbances.Singularity theory of detecting signal based on wavelet transform was applied to the local detection of these sharp points,the mother wavelet option method is studied .Simulations verify the detecting validity and accuracy of the selected mother wavelet.
机译:小波分析正在成为一种有用的工具,因为它允许将数据函数分解为不同的频率或比例分量。因此,小波变换适合分析短时高频现象。小波具有突出的奇异性的显着能力在舰船倾角扰动的检测中,观察到奇异信号中的尖点位于扰动结束或开始的位置。将小波变换应用于这些尖点的局部检测,研究了母子波选择方法。仿真验证了所选母子波的检测有效性和准确性。

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