Search Results - "Stiles, B.W."

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  1. 1

    Impact of rain on spaceborne Ku-band wind scatterometer data by Stiles, B.W., Yueh, S.H.

    “…The accuracy of Ku-band ocean wind scatterometers (i.e., NSCAT and SeaWinds) is impacted to varying degrees by rain. In order to determine how to best flag…”
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    Journal Article
  2. 2

    Evaluation of high-resolution ocean surface vector winds measured by QuikSCAT scatterometer in coastal regions by Wenqing Tang, Liu, W.T., Stiles, B.W.

    “…The SeaWinds scatterometer onboard QuikSCAT covers approximately 90% of the global ocean under clear and cloudy condition in 24 h, and the standard data…”
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    Journal Article
  3. 3

    Direction interval retrieval with thresholded nudging: a method for improving the accuracy of QuikSCAT winds by Stiles, B.W., Pollard, B.D., Dunbar, R.S.

    “…The SeaWinds scatterometer was developed by NASA JPL, Pasadena, CA, to measure the speed and direction of ocean surface winds. It was then launched onboard the…”
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    Journal Article
  4. 4

    QuikSCAT wind retrievals for tropical cyclones by Yueh, S.H., Stiles, B.W., Liu, W.T.

    “…The use of QuikSCAT data for wind retrievals of tropical cyclones is described. The evidence of QuikSCAT /spl sigma//sub 0/ dependence on wind direction for…”
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    Journal Article
  5. 5

    QuikSCAT geophysical model function for tropical cyclones and application to Hurricane Floyd by Yueh, S.H., Stiles, B.W., Wu-Yang Tsai, Hua Hu, Liu, W.T.

    “…The QuikSCAT radar measurements of several tropical cyclones in 1999 have been studied to develop the geophysical model function (GMF) of Ku-band radar /spl…”
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    Journal Article
  6. 6

    Polarimetric scatterometry: a promising technique for improving ocean surface wind measurements from space by Wu-Yang Tsai, Nghiem, S.V., Huddleston, J.N., Spencer, M.W., Stiles, B.W., West, R.D.

    “…Spaceborne wind scatterometers provide useful measurements of ocean surface winds and are important to climatological studies and operational weather…”
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    Journal Article
  7. 7

    Nature, distribution, and origin of Titan’s Undifferentiated Plains by Lopes, Rosaly M.C., Malaska, M.J., Solomonidou, A., Le Gall, A., Janssen, M.A., Neish, C.D., Turtle, E.P., Birch, S.P.D., Hayes, A.G., Radebaugh, J., Coustenis, A., Schoenfeld, A., Stiles, B.W., Kirk, R.L., Mitchell, K.L., Stofan, E.R., Lawrence, K.J.

    Published in Icarus (New York, N.Y. 1962) (15-05-2016)
    “…•Undifferentiated Plains defined, mapped, and interpreted using several data sets.•Sedimentary origin, predominantly containing organic rather than icy…”
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    Journal Article
  8. 8

    Spectral properties of Titan's impact craters imply chemical weathering of its surface by Neish, C. D., Barnes, J. W., Sotin, C., MacKenzie, S., Soderblom, J. M., Le Mouélic, S., Kirk, R. L., Stiles, B. W., Malaska, M. J., Le Gall, A., Brown, R. H., Baines, K. H., Buratti, B., Clark, R. N., Nicholson, P. D.

    Published in Geophysical research letters (28-05-2015)
    “…We examined the spectral properties of a selection of Titan's impact craters that represent a range of degradation states. The most degraded craters have rims…”
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    Journal Article
  9. 9

    Crater topography on Titan: Implications for landscape evolution by Neish, C.D., Kirk, R.L., Lorenz, R.D., Bray, V.J., Schenk, P., Stiles, B.W., Turtle, E., Mitchell, K., Hayes, A.

    Published in Icarus (New York, N.Y. 1962) (01-03-2013)
    “…► We present the latest crater topography measurements for Saturn’s moon Titan. ► Titan’s craters are hundreds of meters shallower than similar craters on…”
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    Journal Article
  10. 10

    Ground processing of Cassini RADAR imagery of Titan by Stiles, B.W., Gim, Y., Hamilton, G., Hensley, S., Johnson, W.T.K., Shimada, J., West, R.D., Callahan, P.

    Published in 2006 IEEE Conference on Radar (2006)
    “…The Cassini RADAR instrument onboard the Cassini Orbiter is currently collecting SAR imagery of the surface of Saturn's largest Moon, Titan. This paper…”
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    Conference Proceeding
  11. 11

    Habituation based neural classifiers for spatio-temporal signals by Stiles, B.W., Ghosh, J.

    “…Based on the habituation mechanism found in biological neural systems, novel dynamic neural networks are proposed for recognizing temporal patterns. The…”
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    Conference Proceeding
  12. 12

    Advanced design concepts for a SeaWinds scatterometer follow-on mission by Spencer, M.W., Huddleston, J.N., Stiles, B.W.

    “…The SeaWinds wind scatterometer was first launched in June of 1999, and has contributed significantly to the study of global climate phenomena and to the…”
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    Conference Proceeding
  13. 13

    A habituation based neural network for spatio-temporal classification by Stiles, B.W., Ghosh, J.

    “…A novel neural network is proposed for the dynamic classification of spatio-temporal signals. The network is designed to classify signals of different…”
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    Conference Proceeding
  14. 14

    Rain, wind, and backscatter: modeling rain effects on Ku-band ocean wind scatterometers by Stiles, B.W., Yueh, S.

    “…Spaceborne Ku-band ocean wind scatterometers (SeaWinds, NSCAT) enable frequent global coverage of meso-scale ocean surface winds. These instruments measure the…”
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    Conference Proceeding
  15. 15
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    Pipelined parallel multiplier implementation by Stiles, B.W., Swartzlander, E.E.

    “…Two's complement pipelined array and Wallace/Dadda (1964, 1965) multipliers are designed using LSI Logic 1.0-micron array based logic devices. The overall…”
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    Conference Proceeding Journal Article
  17. 17

    Some limitations of linear memory architectures for signal processing by Stiles, B.W., Ghosh, J.

    “…Certain neural network structures with a linear "memory" stage followed by a nonlinear memoryless stage are commonly used for signal processing. Two examples…”
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    Conference Proceeding
  18. 18

    QuikSCAT geophysical model function and imaging of tropical cyclone winds by Yueh, S.H., Stiles, B.W., Wu-Yang Tsai

    “…The feasibility of spaceborne scatterometers for the measurements of tropical cyclone wind fields has been investigated with the data from the SeaWinds…”
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    Conference Proceeding
  19. 19
  20. 20

    Complete memory structures for approximating nonlinear discrete-time mappings by Stiles, B.W., Sandberg, I.W., Ghosh, J.

    Published in IEEE transactions on neural networks (01-11-1997)
    “…This paper introduces a general structure that is capable of approximating input-output maps of nonlinear discrete-time systems. The structure is comprised of…”
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    Journal Article