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Signal Processing for the Time-Shift Technique

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This study explores the time-shift technique for characterizing droplets in spray processes, focusing on size, velocity, and colloidal concentration. It presents a filtering method for detecting drops in time series data and develops a numerical model to measure colloidal concentration, showing strong agreement between modeled and actual signals.

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Signal Processing for the Time-Shift Technique, Simon Rosenkranz

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Erscheinungsdatum
2017
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