2026-09-19T02:18:01Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81364 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Blahut, Richard E. Steve Kang Weeks, William, IV 2015-09-25T20:10:45Z 2015-09-25T20:10:45Z 10000-01-01 2000 2000 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. Made available in DSpace on 2015-09-25T20:10:45Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9990187.pdf: 2750560 bytes, checksum: c0c83552fd4de2de93fac02147fe82a3 (MD5) Previous issue date: 2000 Embargo set by: Seth Robbins for item 82645 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 121 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000. http://hdl.handle.net/2142/81364 (MiAaPQ)AAI9990187 eng Engineering, Electronics and Electrical Full-Surface Data Storage text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.