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Co-design of Software and Hardware to Implement Remote Sensing Algorithms (2001)  (Make Corrections)  (1 citation)
James Theiler, Jan Frigo, Maya Gokhale, John J. Szymanski



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Abstract: Both for o#ine searches through large data archives and for onboard computation at the sensor head, there is a growing need for ever-more rapid processing of remote sensing data. For many algorithms of use in remote sensing, the bulk of the processing takes place in an "inner loop" with a large number of simple operations. For these algorithms, dramatic speedups can often be obtained with specialized hardware. The di#culty and expense of digital design continues to limit applicability of this... (Update)

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.... that might lead to more intelligent convergence, either by requiring fewer iterations, or by converging to higher quality solutions [16]. For instance, more sophisticated variants of the hierarchical scheme that involve iterative splitting and merging [8] have been shown...

Cited by:   More
Experience with a Hybrid Processor: K-Means Clustering - Gokhale, Frigo, McCabe..   (Correct)

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BibTeX entry:   (Update)

J. Theiler, J. Frigo, M. Gokhale, and J. J. Szymanski. Co-design of software and hardware to implement remote sensing algorithms. Proc. SPIE, 4480, 2001. http://citeseer.ist.psu.edu/theiler01codesign.html   More

@misc{ theiler01codesign,
  author = "J. Theiler and J. Frigo and M. Gokhale and J. Szymanski",
  title = "Co-design of software and hardware to implement remote sensing algorithms",
  text = "J. Theiler, J. Frigo, M. Gokhale, and J. J. Szymanski. Co-design of software
    and hardware to implement remote sensing algorithms. Proc. SPIE, 4480, 2001.",
  year = "2001",
  url = "citeseer.ist.psu.edu/theiler01codesign.html" }
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