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Time-domain analysis of magnetic resonance spectra and chemical shift images
The utility of adaptive prediction and filtering algorithms and the autocorrelation-based Yule-Walker algorithm to predict and filter complex NMR (nuclear magnetic resonance) data is demonstrated. The application of these methods improves the available signal-to-noise ratio using time-domain analysi...
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| Format: | Conference Proceeding |
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| container_end_page | 437 |
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| container_start_page | 432 |
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| creator | Canady, L.D. Jordan, R. Asgharzadeh, A. Abousleman, G. Koechner, D. Griffey, R.H. |
| description | The utility of adaptive prediction and filtering algorithms and the autocorrelation-based Yule-Walker algorithm to predict and filter complex NMR (nuclear magnetic resonance) data is demonstrated. The application of these methods improves the available signal-to-noise ratio using time-domain analysis, and increases the low resolution via prediction algorithms in data containing phase errors introduced by hardware limitations. The application of the complex least-mean-squares and the modified-least-mean-squares transversal and lattice algorithms to low- and high-resolution NMR data records is demonstrated. The resolution and windowing problems found in the discrete Fourier transform are overcome by these alternative methods.< > |
| doi_str_mv | 10.1109/CBMSYS.1990.109430 |
| format | conference_proceeding |
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The application of these methods improves the available signal-to-noise ratio using time-domain analysis, and increases the low resolution via prediction algorithms in data containing phase errors introduced by hardware limitations. The application of the complex least-mean-squares and the modified-least-mean-squares transversal and lattice algorithms to low- and high-resolution NMR data records is demonstrated. The resolution and windowing problems found in the discrete Fourier transform are overcome by these alternative methods.< ></description><identifier>ISBN: 9780818690402</identifier><identifier>ISBN: 0818690402</identifier><identifier>DOI: 10.1109/CBMSYS.1990.109430</identifier><language>eng</language><publisher>IEEE Comput. Soc. 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The resolution and windowing problems found in the discrete Fourier transform are overcome by these alternative methods.< ></description><subject>Adaptive filters</subject><subject>Autocorrelation</subject><subject>Chemical analysis</subject><subject>Filtering algorithms</subject><subject>Magnetic resonance</subject><subject>Magnetic separation</subject><subject>Nuclear magnetic resonance</subject><subject>Prediction algorithms</subject><subject>Signal resolution</subject><subject>Time domain analysis</subject><isbn>9780818690402</isbn><isbn>0818690402</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1990</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotT8lqwzAUFJRCSuofyEk_4PTJlrUcW9MNHHpIesgpPEvPjYqXYPmSv68gncvAMMzC2EbAVgiwT_XLbn_cb4W1SQArS7hjmdUGjDDKgoRixbIYfyGhqowoxQNrDmGg3E8DhpHjiP01hsinjg_4M9ISHJ8pTiOOjni8kFtmTDbP3ZmG4LDn8Ry6hYdkp_jI7jvsI2X_vGbfb6-H-iNvvt4_6-cmD0IXSy4BLRSCukq1VZtmUEteC03aSA9OVQ7QdMZ65UFqqZRRCqD05NAptFiu2eaWG4jodJlT-3w93S6Xf9FiTPE</recordid><startdate>1990</startdate><enddate>1990</enddate><creator>Canady, L.D.</creator><creator>Jordan, R.</creator><creator>Asgharzadeh, A.</creator><creator>Abousleman, G.</creator><creator>Koechner, D.</creator><creator>Griffey, R.H.</creator><general>IEEE Comput. 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Third Annual IEEE Symposium on Computer-Based Medical Systems</btitle><stitle>CBMSYS</stitle><date>1990</date><risdate>1990</risdate><spage>432</spage><epage>437</epage><pages>432-437</pages><isbn>9780818690402</isbn><isbn>0818690402</isbn><abstract>The utility of adaptive prediction and filtering algorithms and the autocorrelation-based Yule-Walker algorithm to predict and filter complex NMR (nuclear magnetic resonance) data is demonstrated. The application of these methods improves the available signal-to-noise ratio using time-domain analysis, and increases the low resolution via prediction algorithms in data containing phase errors introduced by hardware limitations. The application of the complex least-mean-squares and the modified-least-mean-squares transversal and lattice algorithms to low- and high-resolution NMR data records is demonstrated. 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| identifier | ISBN: 9780818690402 |
| ispartof | [1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems, 1990, p.432-437 |
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| language | eng |
| recordid | cdi_ieee_primary_109430 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive filters Autocorrelation Chemical analysis Filtering algorithms Magnetic resonance Magnetic separation Nuclear magnetic resonance Prediction algorithms Signal resolution Time domain analysis |
| title | Time-domain analysis of magnetic resonance spectra and chemical shift images |
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