- About
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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.
Search results
Showing 151 to 160 of 1024 (0.069 seconds)| 151 |
Concatenated coding and iterative decoding for magnetic and optical recordingMcPheters, Laura L. 05 1900 (has links)
No description available.
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| 152 |
Design and implementation of robust signal processors with applications to video codingLee, Sangyoun 12 1900 (has links)
No description available.
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| 153 |
High-speed sub-pixel edge measurements using systematic, calibrated correctionsLondoño, Mateo 12 1900 (has links)
No description available.
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| 154 |
Design of complex digital FIR filters in the chebyshev senseKaram, Lina J. 05 1900 (has links)
No description available.
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| 155 |
Realization and implementation of state-space IIR digital filtersTawfik, Ayman El-Sayed 14 May 2015 (has links)
Graduate
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| 156 |
Optimal signaling for MIMO interference networksSong, Yang January 2006 (has links)
Thesis (M.S.)--University of Hawaii at Manoa, 2006. / Includes bibliographical references (leaves 40-42). / viii, 42 leaves, bound ill. 29 cm
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| 157 |
Invariant measures of image features from phase informationKovesi, Peter January 1996 (has links)
If reliable and general computer vision techniques are to be developed it is crucial that we find ways of characterizing low-level image features with invariant quantities. For example, if edge significance could be measured in a way that was invariant to image illumination and contrast, higher-level image processing operations could be conducted with much greater confidence. However, despite their importance, little attention has been paid to the need for invariant quantities in low-level vision for tasks such as feature detection or feature matching. This thesis develops a number of invariant low-level image measures for feature detection, local symmetry/asymmetry detection, and for signal matching. These invariant quantities are developed from representations of the image in the frequency domain. In particular, phase data is used as the fundamental building block for constructing these measures. Phase congruency is developed as an illumination and contrast invariant measure of feature significance. This allows edges, lines and other features to be detected reliably, and fixed thresholds can be applied over wide classes of images. Points of local symmetry and asymmetry in images give rise to special arrangements of phase, and these too can be characterized by invariant measures. Finally, a new approach to signal matching that uses correlation of local phase and amplitude information is developed. This approach allows reliable phase based disparity measurements to be made, overcoming many of the difficulties associated with scale-space singularities.
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Resolution enhancement using natural image statistics and multiple aliased observationsAkgun, Toygar. January 2007 (has links)
Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008. / Committee Chair: Yucel Altunbasak; Committee Member: Ghassan Alregib; Committee Member: Marcus Spruill; Committee Member: Patricio A. Vela; Committee Member: Russell M. Mersereau.
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| 159 |
Using Linear Features for Aerial Image Sequence MosaikingWang, Caixia January 2004 (has links) (PDF)
No description available.
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| 160 |
Hierarchies for Event-Based Modeling of Geographic PhenomenaZhang, Rui January 2005 (has links) (PDF)
No description available.
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