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

Conference · Sat Jul 01 00:00:00 EDT 1995

OSTI ID:86962

Razazian, K; Dieckman, S L; Raptis, A C ^[1]; Bobis, J P ^[1]

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1. Argonne National Lab., IL (United States). Energy Technology Div.

This paper describes a nuclear magnetic resonance (NMR) system that uses an adaptive algorithm to carry out real-time NMR spectroscopy. The system employs a digital signal processor (DSP) 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.

• Research Organization: Argonne National Lab., IL (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-31109-ENG-38
• OSTI ID: 86962
• Report Number(s): ANL/ET/CP--84607; CONF-9507134--1; ON: DE95014222
• Country of Publication: United States
• Language: English

Related Subjects

40 CHEMISTRY
ALGORITHMS
COMPUTERIZED SIMULATION
DATA PROCESSING
NMR SPECTROMETERS
ON-LINE MEASUREMENT SYSTEMS
REAL TIME SYSTEMS
SIGNAL CONDITIONING
TRAINING