Matches in SemOpenAlex for { <https://semopenalex.org/work/W2962958467> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W2962958467 abstract "In all applications in digital communications, it is crucial for an estimator to be unbiased. Although so-called soft feedback is widely employed in many different fields of engineering, typically the biased estimate is used. In this paper, we contrast the fundamental unbiasing principles, which can be directly applied whenever soft feedback is required. To this end, the problem is treated from a signal-based perspective, as well as from the approach of estimating the signal based on an estimate of the noise. Numerical results show that when employed in iterative reconstruction algorithms for Compressed Sensing, a gain of 1.2 dB due to proper unbiasing is possible." @default.
- W2962958467 created "2019-07-30" @default.
- W2962958467 creator A5008868282 @default.
- W2962958467 creator A5077400374 @default.
- W2962958467 date "2018-06-01" @default.
- W2962958467 modified "2023-09-27" @default.
- W2962958467 title "Bias Compensation in Iterative Soft-Feedback Algorithms With Applicationto (Discrete) Compressed Sensing" @default.
- W2962958467 cites W1922428744 @default.
- W2962958467 cites W1952940787 @default.
- W2962958467 cites W1970110805 @default.
- W2962958467 cites W2115868281 @default.
- W2962958467 cites W2157638198 @default.
- W2962958467 cites W2505777393 @default.
- W2962958467 cites W2594885870 @default.
- W2962958467 cites W2963206527 @default.
- W2962958467 cites W2964047892 @default.
- W2962958467 cites W308124570 @default.
- W2962958467 cites W4248709896 @default.
- W2962958467 cites W4250955649 @default.
- W2962958467 doi "https://doi.org/10.1109/ssp.2018.8450759" @default.
- W2962958467 hasPublicationYear "2018" @default.
- W2962958467 type Work @default.
- W2962958467 sameAs 2962958467 @default.
- W2962958467 citedByCount "2" @default.
- W2962958467 countsByYear W29629584672020 @default.
- W2962958467 countsByYear W29629584672022 @default.
- W2962958467 crossrefType "proceedings-article" @default.
- W2962958467 hasAuthorship W2962958467A5008868282 @default.
- W2962958467 hasAuthorship W2962958467A5077400374 @default.
- W2962958467 hasConcept C11171543 @default.
- W2962958467 hasConcept C11413529 @default.
- W2962958467 hasConcept C124851039 @default.
- W2962958467 hasConcept C15744967 @default.
- W2962958467 hasConcept C159694833 @default.
- W2962958467 hasConcept C2780023022 @default.
- W2962958467 hasConcept C41008148 @default.
- W2962958467 hasConceptScore W2962958467C11171543 @default.
- W2962958467 hasConceptScore W2962958467C11413529 @default.
- W2962958467 hasConceptScore W2962958467C124851039 @default.
- W2962958467 hasConceptScore W2962958467C15744967 @default.
- W2962958467 hasConceptScore W2962958467C159694833 @default.
- W2962958467 hasConceptScore W2962958467C2780023022 @default.
- W2962958467 hasConceptScore W2962958467C41008148 @default.
- W2962958467 hasLocation W29629584671 @default.
- W2962958467 hasOpenAccess W2962958467 @default.
- W2962958467 hasPrimaryLocation W29629584671 @default.
- W2962958467 hasRelatedWork W1490748085 @default.
- W2962958467 hasRelatedWork W1847517736 @default.
- W2962958467 hasRelatedWork W2007446746 @default.
- W2962958467 hasRelatedWork W2011024669 @default.
- W2962958467 hasRelatedWork W2395397254 @default.
- W2962958467 hasRelatedWork W2399925248 @default.
- W2962958467 hasRelatedWork W2556374532 @default.
- W2962958467 hasRelatedWork W2606757371 @default.
- W2962958467 hasRelatedWork W2923167415 @default.
- W2962958467 hasRelatedWork W426863927 @default.
- W2962958467 isParatext "false" @default.
- W2962958467 isRetracted "false" @default.
- W2962958467 magId "2962958467" @default.
- W2962958467 workType "article" @default.