FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783115149> ?p ?o ?g. }

• W2783115149 endingPage "3754" @default.
• W2783115149 startingPage "3739" @default.
• W2783115149 abstract "In sparse signal recovery of compressive sensing, the phase transition determines the edge, which separates successful recovery and failed recovery. The phase transition can be seen as an indicator and an intuitive way to judge, which recovery performance is better. Traditionally, the multiple measurement vectors (MMVs) problem is usually solved via ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2,1</sub> -norm minimization, which is our first investigation via conic geometry in this paper. Then, we are interested in the same problem but with two common constraints (or prior information): prior information relevant to the ground truth and the inherent low rank within the original signal. To figure out which constraint is most helpful, the MMVs problems are solved via ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2,1</sub> -ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2,1</sub> minimization and ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2,1</sub> -low rank minimization, respectively. By theoretically presenting the necessary and sufficient condition of successful recovery from MMVs, we can have a precise prediction of phase transition to judge, which constraint or prior information is better. All our findings are verified via simulations and show that, under certain conditions, ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2,1</sub> -ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2,1</sub> minimization outperforms ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2,1</sub> -low rank minimization. Surprisingly, ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2,1</sub> -low rank minimization performs even worse than ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2,1</sub> -norm minimization. To the best of our knowledge, we are the first to study the MMVs problem under different prior information in the context of compressive sensing." @default.
• W2783115149 created "2018-01-26" @default.
• W2783115149 creator A5018491742 @default.
• W2783115149 creator A5042784674 @default.
• W2783115149 creator A5046960750 @default.
• W2783115149 creator A5053021397 @default.
• W2783115149 date "2018-01-01" @default.
• W2783115149 modified "2023-10-17" @default.
• W2783115149 title "Performance Analysis of Joint-Sparse Recovery from Multiple Measurement Vectors via Convex Optimization: Which Prior Information is Better?" @default.
• W2783115149 cites W1526740018 @default.
• W2783115149 cites W1770500012 @default.
• W2783115149 cites W1986931325 @default.
• W2783115149 cites W1995756791 @default.
• W2783115149 cites W2011655966 @default.
• W2783115149 cites W2017761965 @default.
• W2783115149 cites W2025223969 @default.
• W2783115149 cites W2029213856 @default.
• W2783115149 cites W2078776517 @default.
• W2783115149 cites W2096854583 @default.
• W2783115149 cites W2099641086 @default.
• W2783115149 cites W2104266187 @default.
• W2783115149 cites W2115144080 @default.
• W2783115149 cites W2127271355 @default.
• W2783115149 cites W2130187411 @default.
• W2783115149 cites W2145096794 @default.
• W2783115149 cites W2147276092 @default.
• W2783115149 cites W2152279006 @default.
• W2783115149 cites W2154483232 @default.
• W2783115149 cites W2159563318 @default.
• W2783115149 cites W2162409952 @default.
• W2783115149 cites W2162800060 @default.
• W2783115149 cites W2164696938 @default.
• W2783115149 cites W2168078104 @default.
• W2783115149 cites W2171974671 @default.
• W2783115149 cites W2714825116 @default.
• W2783115149 cites W2747066277 @default.
• W2783115149 cites W2963355149 @default.
• W2783115149 cites W2963673659 @default.
• W2783115149 cites W3105988367 @default.
• W2783115149 cites W3124617746 @default.
• W2783115149 cites W4250955649 @default.
• W2783115149 cites W565214016 @default.
• W2783115149 doi "https://doi.org/10.1109/access.2018.2791580" @default.
• W2783115149 hasPublicationYear "2018" @default.
• W2783115149 type Work @default.
• W2783115149 sameAs 2783115149 @default.
• W2783115149 citedByCount "8" @default.
• W2783115149 countsByYear W27831151492018 @default.
• W2783115149 countsByYear W27831151492019 @default.
• W2783115149 countsByYear W27831151492021 @default.
• W2783115149 countsByYear W27831151492022 @default.
• W2783115149 crossrefType "journal-article" @default.
• W2783115149 hasAuthorship W2783115149A5018491742 @default.
• W2783115149 hasAuthorship W2783115149A5042784674 @default.
• W2783115149 hasAuthorship W2783115149A5046960750 @default.
• W2783115149 hasAuthorship W2783115149A5053021397 @default.
• W2783115149 hasBestOaLocation W27831151491 @default.
• W2783115149 hasConcept C112680207 @default.
• W2783115149 hasConcept C11413529 @default.
• W2783115149 hasConcept C114614502 @default.
• W2783115149 hasConcept C124851039 @default.
• W2783115149 hasConcept C126255220 @default.
• W2783115149 hasConcept C147764199 @default.
• W2783115149 hasConcept C157972887 @default.
• W2783115149 hasConcept C164226766 @default.
• W2783115149 hasConcept C17744445 @default.
• W2783115149 hasConcept C191795146 @default.
• W2783115149 hasConcept C199539241 @default.
• W2783115149 hasConcept C2524010 @default.
• W2783115149 hasConcept C2776036281 @default.
• W2783115149 hasConcept C33923547 @default.
• W2783115149 hasConcept C41008148 @default.
• W2783115149 hasConceptScore W2783115149C112680207 @default.
• W2783115149 hasConceptScore W2783115149C11413529 @default.
• W2783115149 hasConceptScore W2783115149C114614502 @default.
• W2783115149 hasConceptScore W2783115149C124851039 @default.
• W2783115149 hasConceptScore W2783115149C126255220 @default.
• W2783115149 hasConceptScore W2783115149C147764199 @default.
• W2783115149 hasConceptScore W2783115149C157972887 @default.
• W2783115149 hasConceptScore W2783115149C164226766 @default.
• W2783115149 hasConceptScore W2783115149C17744445 @default.
• W2783115149 hasConceptScore W2783115149C191795146 @default.
• W2783115149 hasConceptScore W2783115149C199539241 @default.
• W2783115149 hasConceptScore W2783115149C2524010 @default.
• W2783115149 hasConceptScore W2783115149C2776036281 @default.
• W2783115149 hasConceptScore W2783115149C33923547 @default.
• W2783115149 hasConceptScore W2783115149C41008148 @default.
• W2783115149 hasFunder F4320322795 @default.
• W2783115149 hasLocation W27831151491 @default.
• W2783115149 hasOpenAccess W2783115149 @default.
• W2783115149 hasPrimaryLocation W27831151491 @default.
• W2783115149 hasRelatedWork W1165639838 @default.
• W2783115149 hasRelatedWork W1613369675 @default.
• W2783115149 hasRelatedWork W1642978978 @default.
• W2783115149 hasRelatedWork W1835327556 @default.
• W2783115149 hasRelatedWork W1865437409 @default.
• W2783115149 hasRelatedWork W1981208576 @default.
• W2783115149 hasRelatedWork W4289791439 @default.

• next