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Filter bank representation of complementary sequence pairs

Authors: Srdjan Z. Budisin; Predrag Spasojevic;

Filter bank representation of complementary sequence pairs

Abstract

A unique decomposition of arbitrary pairs of complementary sequences (including binary, polyphase and QAM) based on paraunitary matrices is presented. This decomposition allows us to describe the internal structure of any sequence pair of length N using basic paraunitary matrices defined by N complex coefficients named omega vector. When the omega vector is sparse a particularly compact canonic form exists and leads to an efficient implementation of a generator-correlator. The equivalence of paraunitary matrices and Z transforms of complementary sequences allows us to apply the rich results from the theory of perfect reconstruction filter-banks to the field of sequence design. Based on this equivalence a new algorithm for generating/correlating 16-, 64-, and 256-QAM sequences is introduced.

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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!
5
Average
Average
Average
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