Combining signal processing and machine learning techniques for real time measurement of raindrops

Denby, B.; Prévotet, Jean-Christophe; Garda, Patrick; Granado, Bertrand; Barthès, Laurent; Golé, P.; Lavergnat, J.; Delahaye, Jean-Yves

doi:10.1109/19.982973

Cited by 8 publications

(8 citation statements)

References 10 publications

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“…Also, the noise distributions of the two beams are in general different from each other (Denby et al, 2001).…”

Section: Noise Analysismentioning

confidence: 99%

“…However, there is still room for improving the present slope algorithm. Also, a potentially more accurate algorithm based on neural networks (Denby et al, 2001) is currently being developed and tested in order to reduce the number of false alarms.…”

Section: False Alarmsmentioning

confidence: 99%

“…The signal processing algorithm adopted to retrieve the drop parameters, called the 'slope' algorithm has already been described in (Denby et al, 2001) and is schematically shown in Fig. 8.…”

Section: The Slope Algorithmmentioning

confidence: 99%

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A dual-beam spectropluviometer concept

Delahaye

Barthès

Golé

et al. 2006

Journal of Hydrology

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“…Also, the noise distributions of the two beams are in general different from each other (Denby et al, 2001).…”

Section: Noise Analysismentioning

confidence: 99%

Section: False Alarmsmentioning

confidence: 99%

See 1 more Smart Citation

A dual-beam spectropluviometer concept

Delahaye

Barthès

Golé

et al. 2006

Journal of Hydrology

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“…Software routines were used for all fixed-point DSP tasks and graphical user interface (GUI) operations [36]. The scanning receiver was capable of outputting an analogue voltage proportional to the instantaneous transmission frequency within a preset channel bandwidth.…”

Section: A Base Station Architecture and Real-time Data Retrievalmentioning

confidence: 99%

A Programmable Microsystem Using System-on-Chip for Real-time Biotelemetry

Wang

Johannessen

Hammond

et al. 2005

IEEE Trans. Biomed. Eng.

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Abstract-A telemetry microsystem, including multiple sensors, integrated instrumentation and a wireless interface has been implemented. We have employed a methodology akin to that for System-on-Chip microelectronics to design an integrated circuit instrument containing several "intellectual property" blocks that will enable convenient reuse of modules in future projects. The present system was optimized for low-power and included mixed-signal sensor circuits, a programmable digital system, a feedback clock control loop and RF circuits integrated on a 5 mm 5 mm silicon chip using a 0.6 m, 3.3 V CMOS process. Undesirable signal coupling between circuit components has been investigated and current injection into sensitive instrumentation nodes was minimized by careful floor-planning. The chip, the sensors, a magnetic induction-based transmitter and two silver oxide cells were packaged into a 36 mm 12 mm capsule format. A base station was built in order to retrieve the data from the microsystem in real-time. The base station was designed to be adaptive and timing tolerant since the microsystem design was simplified to reduce power consumption and size. The telemetry system was found to have a packet error rate of 10 3 using an asynchronous simplex link. Trials in animal carcasses were carried out to show that the transmitter was as effective as a conventional RF device whilst consuming less power.

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“…These two different approaches are used by projecting light to the measurement area and measuring either the amount of the light that is absorbed or the amount of the light that is scattered by the falling hydrometeors with a detector [12]- [16]. Systems based on absorption most commonly use a sheet-of-light type of measurement with either a single or a line scan detector.…”

mentioning

confidence: 99%

A Holographic In-Line Imaging System for Meteorological Applications

Kaikkonen

Ekimov

Mäkynen

2014

IEEE Trans. Instrum. Meas.

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A digital holographic in-line imaging instrument aimed for meteorological measurements is presented. The system is designed to capture detailed information of macroscopic hydrometeors in a large imaging volume. We suggest the use of holographic imaging to overcome the depth of field limitations of conventional macroimaging systems in meteorological imaging applications. The first low magnification holographic imaging prototype built for measuring free falling hydrometeors in the size range of a few tens of micrometers to several millimeters is described. The design of the imaging setup is discussed in detail, calibration and characterization measurements of magnification, position accuracy, and resolving power are presented. Field measurements during snow falls and rain were made and reconstructed images of snowflakes and raindrops are shown and analyzed. The results of laboratory tests and the field tests show high quality and resolution of reconstructed holograms to enable detailed image analyses on snowflakes, raindrops, and other types of hydrometeors.

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Combining signal processing and machine learning techniques for real time measurement of raindrops

Cited by 8 publications

References 10 publications

A dual-beam spectropluviometer concept

A dual-beam spectropluviometer concept

A Programmable Microsystem Using System-on-Chip for Real-time Biotelemetry

A Holographic In-Line Imaging System for Meteorological Applications

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