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

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4 Author(s)
Razazian, K. ; Argonne Nat. Lab., IL, USA ; Bobis, J.P. ; Dieckman, S.L. ; Raptis, A.C.

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

Published in:

Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on  (Volume:2 )

Date of Conference:

10-14 Jul1995