2026-09-19T13:24:00Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81343 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Kenneth Zeger Sherwood, Phillip Gregory 2015-09-25T20:10:39Z 2015-09-25T20:10:39Z 10000-01-01 2000 2000 Finally, methods for introducing an adjustable amount of source redundancy are explored in the context of erasure channels. The erasure channel can be considered an abstraction of an arbitrary physical channel as long as reliable error detection is possible, so the methods are broadly applicable. A multistage coding structure is proposed which offers much flexibility, even in terms of the underlying compression algorithms, as well as low complexity. Extensions of multiple description scalar quantizers in combination with erasure correcting codes are proposed as another method. Made available in DSpace on 2015-09-25T20:10:39Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9971189.pdf: 6739814 bytes, checksum: ab04a6cf01b7b86dd88f1a081554214d (MD5) Previous issue date: 2000 Embargo set by: Seth Robbins for item 82624 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 131 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000. http://hdl.handle.net/2142/81343 (MiAaPQ)AAI9971189 eng Engineering, Electronics and Electrical Source and Channel Coding of Images for Noisy Channels text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.