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Displaying 1-5 out of 5 total
The Direction-of-Arrival Problem: Coming at You
Found in: Computing in Science and Engineering
By Dianne P. O'Leary, Nargess Memarsadeghi
Issue Date:November 2003
pp. 60-70
<p>In this month's problem, we use linear algebra and matrix-updating techniques to track a set of moving signals. The solution to last month's problem on clustering data, which appears at the end of this article, illustrates the complications of det...
Classified Information: The Data Clustering Problem
Found in: Computing in Science and Engineering
By Nargess Memarsadeghi, Dianne P. O'Leary, Yalin E. Sagduyu
Issue Date:September 2003
pp. 54-60
<p>Many projects in engineering and science require data classification based on different heuristics. Designers, for example, classify automobile engine performance as acceptable or unacceptable based on a combination of efficiency, emissions, noise...
NASA Computational Case Study: SAR Data Processing--Ground-Range Projection
Found in: Computing in Science & Engineering
By Nargess Memarsadeghi,Rafael Rincon
Issue Date:November 2013
pp. 92-95
Radar technology is used extensively by NASA for remote sensing of the Earth and other planetary bodies. In this case study, we learn about different computational concepts for processing radar data. In particular, we learn how to correct a slanted radar i...
NASA Computational Case Study, Hyperspectral Data Processing: Cryospheric Change Detection
Found in: Computing in Science & Engineering
By Thomas Doggett,Nargess Memarsadeghi
Issue Date:July 2012
pp. 92-97
This case study shows how remotely sensed hyperspectral data of NASA's Earth Observing-1 satellite are processed to detect features such as ice, water, and snow on Earth.
NASA Computational Case Study Characterizing Moving Particles
Found in: Computing in Science and Engineering
By Nargess Memarsadeghi,Brent J. Bos
Issue Date:November 2011
pp. 76-78
Studying small particles is of interest to NASA scientists for many applications, such as characterizing the lunar and Martian dust environments. In this homework, we characterize the motion of small particles using image analysis.