Title of article
Combining signal processing and machine learning techniques for real time measurement of raindrops
Author/Authors
B.، Denby, نويسنده , , P.، Garda, نويسنده , , B.، Granado, نويسنده , , J.-C.، Prevotet, نويسنده , , L.، Barthes, نويسنده , , P.، Gole, نويسنده , , J.، Lavergnat, نويسنده , , J.-Y.، Delahaye, نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2001
Pages
-1716
From page
1717
To page
0
Abstract
The data acquisition system for a new type of optical disdrometer is presented. As the device must measure sizes and velocities of raindrops as small as 0.1 mm diameter in real time in the presence of high noise and a variable baseline, algorithm design has been a challenge. The combining of standard signal processing techniques and machine learning methods (in this case, a neural network) has been essential to obtaining good performance
Keywords
Hydrograph
Journal title
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Serial Year
2001
Journal title
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Record number
91965
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