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Theses and Dissertations

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    • Tummala, Murali (173)
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Block Lanczos algorithm. 

Kim, Yong Joo (Monterey, California. Naval Postgraduate School, 1989-12)
We use a block Lanczos algorithm for computing a few of the smallest eigenvalues and the corresponding eigenvectors of a large symmetric matrix rather than computing all the eigenvalue-eigenvector pairs. The basic Lanczos ...
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Reed-Muller codes in error correction in wireless adhoc networks 

Tezeren, Serdar U. (Monterey California. Naval Postgraduate School, 2004-03)
The IEEE 802.11a standard uses a coded orthogonal frequency division multi-plexing (COFDM) scheme in the 5-GHz band to support data rates up to 54 Mbps. The COFDM was chosen because of its robustness to multipath fading ...
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Detection of binary phase shift keyed signals in extremely high noise levels. 

Scout, John B. (Monterey, California. Naval Postgraduate School, 1992-03)
This thesis describes the design of a fully digital Binary Phase Shift Keyed receiver considered for use in a telemetry system in the range testing of torpedos. The method employed uses a subspace technique called Estimation ...
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DOA estimation by eigendecomposition using single vector Lanczos Algorithm. 

Gear, Daniel E. (Monterey, California. Naval Postgraduate School, 1989-06)
Subspace methods of solving spectral estimation and direction of arrival (DOA) problems involve finding the eigenvalues and eigenvectors of correlation matrices. Using the Lanczos algorithm some of the extreme eigenvalues ...
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ARMA modeling 

Kayahan, Gurhan (1988-12)
This thesis estimates the frequency response of a network where the only data is the output obtained from an Autoregressive-moving average (ARMA) model driven by a random input. Models of random processes and existing ...
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Data compression using artificial neural networks. 

Watkins, Bruce E. (Monterey, California. Naval Postgraduate School, 1991-09)
This thesis investigates the application of artificial neural networks for the compression of image data. An algorithm is developed using the competitive learning paradigm which takes advantage of the parallel processing ...
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Iterative methods for estimation of 2-D AR parameters using a data-adaptive Toeplitz approximation algorithm 

Eremic, John C. (Monterey, California. Naval Postgraduate School, 1991-09)
A new two-dimensional data-adaptive algorithm utilizing the iterative Toeplitz approximation method is presented. This algorithm provides a robust and efficient means for accurate estimation of 2-D autoregressive parameters ...
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Data fusion algorithm for the Vessel Traffic Services system: a fuzzy associative system approach 

Ruthenberg, Thomas M. (Monterey, California. Naval Postgraduate School, 1995-03)
This thesis develops an algorithm to fuse redundant radar observations caused by multiple radar coverage of a vessel. Additionally, the algorithm automates track history and improves position accuracy by incorporating ...
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Performance analysis of decode-and-forward with cooperative diversity and Alamouti cooperative space-time coding in clustered multihop wireless networks 

Alexopoulos, Konstantinos (Monterey California. Naval Postgraduate School, 2008-09)
Space-time coding and spatial diversity schemes enhance the performance of energy constrained multihop clustered relay networks. The purpose of this thesis is to evaluate the performance of techniques such as the decode-and- ...
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State-based channel selection in multi-channel wireless networks 

Phillips, Brian E. (Monterey, California: Naval Postgraduate School, 2011-06)
In this thesis, we present an innovative scheme to favor the selection of M out of N available high-performing channels in multi-channel wireless networks through the application of states to individual channels. One channel ...
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