Blind sequence estimation
Copyright policy )Blind sequence estimation
Summary: Estimating the data sequence from the received signal without knowing the transmission channel is referred to as blind sequence estimation. A new blind sequence estimation scheme is proposed by exploiting the second order statistical properties of the source and the algebraic structures of the data sequence. An optimal source (deterministic) correlation estimator and the Viterbi algorithm are used to achieve blind sequence estimation. The proposed approach also has a special structure particularly attractive for time varying channels.
- University of Connecticut United States
Signal theory (characterization, reconstruction, filtering, etc.), optimal source deterministic correlation estimator, time varying channels, blind sequence estimation, Viterbi algorithm
Signal theory (characterization, reconstruction, filtering, etc.), optimal source deterministic correlation estimator, time varying channels, blind sequence estimation, Viterbi algorithm
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).46 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!