Matches in SemOpenAlex for { <https://semopenalex.org/work/W1515352096> ?p ?o ?g. }
- W1515352096 abstract "In this paper, we propose a novel structured compressive sensing algorithm based on non-parametric Bayesian framework for the reconstruction of sparse entries with a continuous structure. A paired spike-and-slab prior is first employed to impose signal sparsity. A logistic Gaussian kernel model, which involves the logistic model and location-dependent Gaussian kernel, is then proposed to encourage the underlying structure of a sparse signal. A closed-form and analytical posterior inference is carried out in a Gibbs sampling scheme. Simulation results demonstrate that the proposed algorithm outperforms existing state-of-the-art sparse Bayesian learning algorithms." @default.
- W1515352096 created "2016-06-24" @default.
- W1515352096 creator A5007661434 @default.
- W1515352096 creator A5012490058 @default.
- W1515352096 creator A5074195801 @default.
- W1515352096 creator A5076758349 @default.
- W1515352096 date "2015-04-01" @default.
- W1515352096 modified "2023-09-27" @default.
- W1515352096 title "Structured Bayesian compressive sensing exploiting spatial location dependence" @default.
- W1515352096 cites W1648445109 @default.
- W1515352096 cites W1663973292 @default.
- W1515352096 cites W1964590471 @default.
- W1515352096 cites W1970554427 @default.
- W1515352096 cites W1981157266 @default.
- W1515352096 cites W1991031161 @default.
- W1515352096 cites W1999974018 @default.
- W1515352096 cites W2007069447 @default.
- W1515352096 cites W2043206083 @default.
- W1515352096 cites W2043560486 @default.
- W1515352096 cites W2049502219 @default.
- W1515352096 cites W2061258054 @default.
- W1515352096 cites W2065513175 @default.
- W1515352096 cites W2071284784 @default.
- W1515352096 cites W2076339858 @default.
- W1515352096 cites W2083042020 @default.
- W1515352096 cites W2095018839 @default.
- W1515352096 cites W2099878672 @default.
- W1515352096 cites W2100864539 @default.
- W1515352096 cites W2108306139 @default.
- W1515352096 cites W2119667497 @default.
- W1515352096 cites W2138019504 @default.
- W1515352096 cites W2146000945 @default.
- W1515352096 cites W2159268085 @default.
- W1515352096 cites W2164129707 @default.
- W1515352096 cites W2292697821 @default.
- W1515352096 cites W2296616510 @default.
- W1515352096 cites W2145856765 @default.
- W1515352096 doi "https://doi.org/10.1109/icassp.2015.7178688" @default.
- W1515352096 hasPublicationYear "2015" @default.
- W1515352096 type Work @default.
- W1515352096 sameAs 1515352096 @default.
- W1515352096 citedByCount "3" @default.
- W1515352096 countsByYear W15153520962015 @default.
- W1515352096 countsByYear W15153520962017 @default.
- W1515352096 countsByYear W15153520962021 @default.
- W1515352096 crossrefType "proceedings-article" @default.
- W1515352096 hasAuthorship W1515352096A5007661434 @default.
- W1515352096 hasAuthorship W1515352096A5012490058 @default.
- W1515352096 hasAuthorship W1515352096A5074195801 @default.
- W1515352096 hasAuthorship W1515352096A5076758349 @default.
- W1515352096 hasBestOaLocation W15153520962 @default.
- W1515352096 hasConcept C107673813 @default.
- W1515352096 hasConcept C11413529 @default.
- W1515352096 hasConcept C114614502 @default.
- W1515352096 hasConcept C119857082 @default.
- W1515352096 hasConcept C121332964 @default.
- W1515352096 hasConcept C124851039 @default.
- W1515352096 hasConcept C153180895 @default.
- W1515352096 hasConcept C154945302 @default.
- W1515352096 hasConcept C158424031 @default.
- W1515352096 hasConcept C160234255 @default.
- W1515352096 hasConcept C163716315 @default.
- W1515352096 hasConcept C33923547 @default.
- W1515352096 hasConcept C41008148 @default.
- W1515352096 hasConcept C62520636 @default.
- W1515352096 hasConcept C74193536 @default.
- W1515352096 hasConceptScore W1515352096C107673813 @default.
- W1515352096 hasConceptScore W1515352096C11413529 @default.
- W1515352096 hasConceptScore W1515352096C114614502 @default.
- W1515352096 hasConceptScore W1515352096C119857082 @default.
- W1515352096 hasConceptScore W1515352096C121332964 @default.
- W1515352096 hasConceptScore W1515352096C124851039 @default.
- W1515352096 hasConceptScore W1515352096C153180895 @default.
- W1515352096 hasConceptScore W1515352096C154945302 @default.
- W1515352096 hasConceptScore W1515352096C158424031 @default.
- W1515352096 hasConceptScore W1515352096C160234255 @default.
- W1515352096 hasConceptScore W1515352096C163716315 @default.
- W1515352096 hasConceptScore W1515352096C33923547 @default.
- W1515352096 hasConceptScore W1515352096C41008148 @default.
- W1515352096 hasConceptScore W1515352096C62520636 @default.
- W1515352096 hasConceptScore W1515352096C74193536 @default.
- W1515352096 hasLocation W15153520961 @default.
- W1515352096 hasLocation W15153520962 @default.
- W1515352096 hasOpenAccess W1515352096 @default.
- W1515352096 hasPrimaryLocation W15153520961 @default.
- W1515352096 hasRelatedWork W1493388660 @default.
- W1515352096 hasRelatedWork W1959736064 @default.
- W1515352096 hasRelatedWork W1963850048 @default.
- W1515352096 hasRelatedWork W1986789917 @default.
- W1515352096 hasRelatedWork W1999637909 @default.
- W1515352096 hasRelatedWork W2009380799 @default.
- W1515352096 hasRelatedWork W2042469980 @default.
- W1515352096 hasRelatedWork W2049502219 @default.
- W1515352096 hasRelatedWork W2076277337 @default.
- W1515352096 hasRelatedWork W2112344730 @default.
- W1515352096 hasRelatedWork W2114494870 @default.
- W1515352096 hasRelatedWork W2119047398 @default.
- W1515352096 hasRelatedWork W2134866593 @default.
- W1515352096 hasRelatedWork W2292773368 @default.
- W1515352096 hasRelatedWork W2357703611 @default.