Bounded-distance decoding: Algorithms, decision regions, and pseudo nearest neighbors

Ofer Amrani*, Yair Be'ery

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

For a code C, bounded-distance decoding algorithms perform as optimal algorithms within the balls B(c), centered at the codewords c ∈ C, with radius equal to half the minimum Euclidean distance of the code. Thus distinct bounded-distance algorithms vary in performance due to their different behavior outside the balls B(c). We investigate this issue by analyzing the decision regions of some known (e.g., GMD) and some new bounded-distance algorithms presented in this work. In particular, we show that there are three distinct types of nearest neighbors and classify them according to their influence on the decision region. Simulation results and computer-generated images of the decision regions are provided to illustrate the analytical results.

Original languageEnglish
Pages (from-to)3072-3082
Number of pages11
JournalIEEE Transactions on Information Theory
Volume44
Issue number7
DOIs
StatePublished - 1998

Funding

FundersFunder number
Ministry of Industry and Commerce, Israel

    Keywords

    • Bounded-distance decoding
    • Decision region
    • Nearest neighbors
    • Pseudo nearest neighbors
    • Voronoi region

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