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Title:Full-Surface Data Storage
Author(s):Weeks, William, IV
Doctoral Committee Chair(s):Blahut, Richard E.; Steve Kang
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Electronics and Electrical
Abstract:First, serial techniques are generalized to full-surface applications and the resulting systems analyzed for bit error rate (BER) performance under varying data density and noise levels. A multitrack Viterbi algorithm (MVA) performs well; however, the computational complexity limits the achievable data density. Equalization methods are introduced to increase achievable density. Iterative techniques based on greedy optimization are also studied. Though requiring relatively large computation, these iterative techniques have manageable memory requirements and can be used to implement soft-output algorithms. Finally, methods are developed that link maximum-likelihood (ML) data demodulation with ML image processing.
Issue Date:2000
Description:121 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.
Other Identifier(s):(MiAaPQ)AAI9990187
Date Available in IDEALS:2015-09-25
Date Deposited:2000

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