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https://hdl.handle.net/2142/81364
Description
Title
Full-Surface Data Storage
Author(s)
Weeks, William, IV
Issue Date
2000
Doctoral Committee Chair(s)
Blahut, Richard E.
Steve Kang
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
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.
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