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Scientia Sinica Mathematica
Article . 2014 . Peer-reviewed
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Harmonic analysis and research on channel coding and decoding

Authors: WenGu CHEN; GuoQing WU;

Harmonic analysis and research on channel coding and decoding

Abstract

The channel coding is one of the key technologies in communication systems and its traditional theory is based on algebra and the nite eld GF ( p ). This paper rstly establishes the mathematical model of the channel coding in noisy cases, then introduces the novel channel coding theory based on harmonic analysis and applies important tools of harmonic analysis including compressed sensing and Walsh-Hadamard transform to achieve the decoding and blind recognition of channel coding. Some elementary results and newly progress of channel coding based on harmonic analysis are surveyed including Gilbert-Varshamov bound theorem, l1 decoding, RIP condition, Walsh-Hadamard transform.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
bronze