Analogue Signal Conditioning and Effective Programming for Processing Large Volumes of Data
Abstract: A four-channel data logger is being built as part of research to investigate the acoustic emissions from beams of Antarctic sea ice. A 500kHz sampling rate and 24 hour experiments mean there is up to 86Gbytes of raw information. The fast instruction rates of DSPs make it most efficient to...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Text |
| Language: | English |
| Subjects: | |
| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.2311 http://www.physics.otago.ac.nz/electronics/papers/LawrenceBahrLanghorne99.pdf |
| Summary: | Abstract: A four-channel data logger is being built as part of research to investigate the acoustic emissions from beams of Antarctic sea ice. A 500kHz sampling rate and 24 hour experiments mean there is up to 86Gbytes of raw information. The fast instruction rates of DSPs make it most efficient to digitise data as soon as possible. The analogue signal must be conditioned quickly and effectively to eliminate unwanted parts of the signal and convert the signal to a form that may be used by the ADC. All components must be able to handle the fast sampling rate and cold conditions. This means some trade off; for example the fast op-amp used has high input bias currents. Once digitised, the information must be compressed quickly and stored on local memory. Keywords: Signal Conditioning, Digital Signal Processing. 1. |
|---|