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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Code optimization for the Choi-Williams distribution for ELINT applications

Hollinger, Kenneth B. January 2009 (has links) (PDF)
Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, December 2009. / Thesis Advisor(s): Fouts, Douglas J. ; Pace, Phillip E. "December 2009." Description based on title screen as viewed on January 27, 2010. Author(s) subject terms: Choi-Williams Distribution, Signal Processing, Algorithm Optimization, C programming, Low Probability of Intercept (LPI), Radar detection, Radar classification. Includes bibliographical references (p. 75-76). Also available in print.
2

Analysis of low probability of intercept (LPI) radar signals using cyclostationary processing /

Lima, Antonio F. January 2002 (has links) (PDF)
Thesis (M.S. in Systems Engineering)--Naval Postgraduate School, September 2002. / Thesis advisor(s): Phillip E. Pace, Herschel H. Loomis. Includes bibliographical references (p. 159-160). Also available online.
3

Signal processing in radar and non-radar sensor networks

Liang, Jing. January 2009 (has links)
Thesis (Ph.D.)--University of Texas at Arlington, 2009.
4

Signal processing strategies for bistatic synthetic aperture radar

Rigling, Brian D., January 2003 (has links)
Thesis (Ph. D.)--Ohio State University, 2003. / Title from first page of PDF file. Document formatted into pages; contains xv, 162 p.: ill. (some col.). Includes abstract and vita. Advisor: Randolph L. Moses, Dept. of Electrical Engineering. Includes bibliographical references (p. 156-162).
5

Array processing methods for calibrating Inverse Synthetic Aperture Radar and Multiple Pass Synthetic Aperture Radar /

She, Zhishun. January 2000 (has links) (PDF)
Thesis (Ph.D.) -- University of Adelaide, Dept. of Electrical and Electronic Engineering, 2000. / Table of corrections inserted opposite table of contents. Bibliography: p.191-212.
6

Signal processing methods for airborne lidar bathymetry /

Lane, Dallas W. January 2001 (has links) (PDF)
Thesis (M.Eng.Sc.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 2002? / "August 2001." Includes bibliographical references (leaves 77-80).
7

An evolutionary algorithm approach to simultaneous multi-mission radar waveform design /

Enslin, Jason W. January 2007 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 2007. / Typescript. Includes bibliographical references (leaves 79-82).
8

Implementation study of radar signal processing Using SIMD architectures

Ekström, Mikael, Westerberg, Martin January 2006 (has links)
<p>The aim of this pro ject was to evaluate the use of SIMD array architectures in radar </p><p>signal processing. This has been done by implementing one of the most demanding parts </p><p>of the radar signal processing chain for airborne radar on the CSX600 architecture devel- </p><p>oped by Clearspeed Technologies. The CSX600 architecture is a SIMD processor with 96 </p><p>processing elements which can be arranged either as a linera array or as a ring. The QR- </p><p>decomposition, which was the part chosen for implementation, is the most performance </p><p>demanding part of the STAP stage. In order to create a relevant test case the well known </p><p>RT STAP benchmark from Mitre Corporation has been used. Two different algorithms </p><p>for performing QR-decompositions have been implemented and verified. In both cases </p><p>it has been concluded that either longer (> </p><p>≈256) or shorter (< ≈32) processor array </p><p>lengths would, in general, yield a higher utilization ratio. The FLOP count and utiliza- </p><p>tion has been measured for both algorithms, and it has been concluded that at least eight </p><p>CSX600 processors are needed to meet the real-time demand of the benchmark.</p>
9

Radar Signal Processing with Graphics Processors (GPUS)

Pettersson, Jimmy, Wainwright, Ian January 2010 (has links)
No description available.
10

Radar Signal Processing with Graphics Processors (GPUS)

Pettersson, Jimmy, Wainwright, Ian January 2010 (has links)
No description available.

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