Optimal sequence estimation for convolutionally coded signals with binary digital modulation in ISI channels

DOI10.1016/0016-0032(95)00003-2zbMath0843.94006OpenAlexW2083101091MaRDI QIDQ1912538

Fuqin Xiong

Publication date: 19 August 1996

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://engagedscholarship.csuohio.edu/enece_facpub/57

zbMATH Keywords

decodingmaximum likelihoodViterbi algorithmconvolutional codesintersymbol interferencematched filter

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Channel models (including quantum) in information and communication theory (94A40) Convolutional codes (94B10) Modulation and demodulation in information and communication theory (94A14)

Cites Work

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• Reduced-state sequence estimation for coded modulation of intersymbol interference channels
• Channel coding with multilevel/phase signals
• Sequential sequence estimation for multiple-channel systems with intersymbol and interchannel interference
• Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference

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