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Complete memory structures for approximating nonlinear discrete-time mappings.

, , and . IEEE Trans. Neural Networks, 8 (6): 1397-1409 (1997)

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Combined active / passive retrievals of ocean vector winds and salinities from SMAP., , , , and . IGARSS, page 2253-2256. IEEE, (2016)Habituation based neural networks for spatio-temporal classification., and . Neurocomputing, 15 (3-4): 273-307 (1997)SMAP L-Band Passive Microwave Observations of Ocean Surface Wind During Severe Storms., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 54 (12): 7339-7350 (2016)Polarimetric scatterometry: a promising technique for improving ocean surface wind measurements from space., , , , , and . IEEE Trans. Geosci. Remote. Sens., 38 (4): 1903-1921 (2000)SMAP Radiometer-Only Tropical Cyclone Intensity and Size Validation., , , , and . IEEE Geosci. Remote. Sens. Lett., 15 (10): 1480-1484 (2018)Cassini RADAR Sequence Planning and Instrument Performance., , , , , , , , , and 10 other author(s). IEEE Trans. Geosci. Remote. Sens., 47 (6): 1777-1795 (2009)Titan's Rotation Reveals an Internal Ocean and Changing Zonal Winds, , , , , , , , and . Science, (2008)A P-Band Signals of Opportunity Synthetic Aperture Radar Concept for Remote Sensing of Terrestrial Snow., , , , , , , , , and 2 other author(s). IGARSS, page 4244-4247. IEEE, (2022)Hadley cell trends and variability as determined from scatterometer observations: How rapidscat will help establishing reliable long-term record., , , , and . IGARSS, page 1211-1214. IEEE, (2015)On Extreme Winds at L-Band with the SMAP Synthetic Aperture Radar., , , , and . IGARSS, page 7889-7892. IEEE, (2019)