Improved data-acquisition system for microprocessor-based applications using a least significant word algorithm

Improved data-acquisition system for microprocessor-based applications using a least significant word algorithm

A novel technique to compress and expand a digitized signal is presented. The proposed methodology allows the storage memory to be cut in half and the sample frequency of the acquisition system to be doubled. It is useful in those cases in which the number of bits of the analog-to-digital converter...

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Veröffentlicht in:IEEE transactions on instrumentation and measurement 1988-09, Vol.37 (3), p.464-466
Hauptverfasser: Benedetti, M., Morgenstern, V.M., Carrica, D.O.
Format: Artikel
Sprache:eng
Schlagworte:
Analog-digital conversion
Application software
Frequency
Instruments
Microcomputers
Microprocessors
Signal processing
Signal resolution
Signal sampling
Throughput
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Beschreibung
Zusammenfassung:A novel technique to compress and expand a digitized signal is presented. The proposed methodology allows the storage memory to be cut in half and the sample frequency of the acquisition system to be doubled. It is useful in those cases in which the number of bits of the analog-to-digital converter is greater than the databus length of the microprocessor and the signal slew-rate is known. The proposed method also permits the clipping of unwanted spikes present in the signal. An application using a 12-bit analog-to-digital converter and an 8-bit microprocessor is given.< >
ISSN:0018-9456
1557-9662
DOI:10.1109/19.7477