Performance bounds for high rate linear codes over partial response channels

T. M. Duman, E. Kurtas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We develop union bounds for high rate linear codes used for partial response equalized channels with additive white Gaussian noise. One particular application of the present setting is the computation of bounds for magnetic recording systems using turbo codes.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Information Theory - Proceedings
Pages258
Number of pages1
StatePublished - 2000
Event2000 IEEE International Symposium on Information Theory - Serrento, Italy
Duration: Jun 25 2000Jun 30 2000

Other

Other2000 IEEE International Symposium on Information Theory
CountryItaly
CitySerrento
Period6/25/006/30/00

Fingerprint

Turbo codes
Magnetic recording

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Duman, T. M., & Kurtas, E. (2000). Performance bounds for high rate linear codes over partial response channels. In IEEE International Symposium on Information Theory - Proceedings (pp. 258)

Performance bounds for high rate linear codes over partial response channels. / Duman, T. M.; Kurtas, E.

IEEE International Symposium on Information Theory - Proceedings. 2000. p. 258.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Duman, TM & Kurtas, E 2000, Performance bounds for high rate linear codes over partial response channels. in IEEE International Symposium on Information Theory - Proceedings. pp. 258, 2000 IEEE International Symposium on Information Theory, Serrento, Italy, 6/25/00.
Duman TM, Kurtas E. Performance bounds for high rate linear codes over partial response channels. In IEEE International Symposium on Information Theory - Proceedings. 2000. p. 258
Duman, T. M. ; Kurtas, E. / Performance bounds for high rate linear codes over partial response channels. IEEE International Symposium on Information Theory - Proceedings. 2000. pp. 258
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