DSP-based on-line NMR spectroscopy using an anti-Hebbian learning algorithm

DSP-based on-line NMR spectroscopy using an anti-Hebbian learning algorithm

This paper describes a nuclear magnetic resonance (NMR) system that uses an adaptive algorithm to carry out real-time NMR spectroscopy in chemical contents characterisation. The system employs a digital signal processor chip to regulate the transmitted and received signal together with spectral anal...

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Hauptverfasser: Razazian, K., Bobis, J.P., Dieckman, S.L., Raptis, A.C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adaptive algorithm
Adaptive filters
Chemicals
Digital signal processors
Nuclear magnetic resonance
Real time systems
Signal detection
Signal processing
Spectral analysis
Spectroscopy
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creator Razazian, K.
Bobis, J.P.
Dieckman, S.L.
Raptis, A.C.
description This paper describes a nuclear magnetic resonance (NMR) system that uses an adaptive algorithm to carry out real-time NMR spectroscopy in chemical contents characterisation. The system employs a digital signal processor chip to regulate the transmitted and received signal together with spectral analysis of the received signal to determine free induction decay (FID). To implement such a signal-processing routine for detection of the desired signal, an adaptive line enhancer filter that uses an anti-Hebbian learning algorithm is applied to the FID spectra. The results indicate that the adaptive filter can be a reliable technique for on-line spectroscopy study.
doi_str_mv 10.1109/ISIE.1995.497285
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subjects Adaptive algorithm
Adaptive filters
Chemicals
Digital signal processors
Nuclear magnetic resonance
Real time systems
Signal detection
Signal processing
Spectral analysis
Spectroscopy
title DSP-based on-line NMR spectroscopy using an anti-Hebbian learning algorithm
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