Matches in SemOpenAlex for { <https://semopenalex.org/work/W3021630110> ?p ?o ?g. }
- W3021630110 endingPage "7273" @default.
- W3021630110 startingPage "7253" @default.
- W3021630110 abstract "We investigate the problems of 1-D and 2-D signal recovery from subsampled Hadamard measurements using Haar wavelet as a sparsity inducing prior. These problems are of interest in, e.g., computational imaging applications relying on optical multiplexing or single-pixel imaging. However, the realization of such modalities is often hindered by the coherence between the Hadamard and Haar bases. The variable and multilevel density sampling strategies solve this issue by adjusting the subsampling process to the local and multilevel coherence, respectively, between the two bases; hence enabling successful signal recovery. In this work, we compute an explicit sample-complexity bound for Hadamard-Haar systems as well as uniform and non-uniform recovery guarantees; a seemingly missing result in the related literature. We explore the faithfulness of the numerical simulations to the theoretical results and show in a practically relevant instance, e.g., single-pixel camera, that the target signal can be recovered from a few Hadamard measurements." @default.
- W3021630110 created "2020-05-13" @default.
- W3021630110 creator A5017508063 @default.
- W3021630110 creator A5053892288 @default.
- W3021630110 creator A5087386617 @default.
- W3021630110 date "2020-11-01" @default.
- W3021630110 modified "2023-10-14" @default.
- W3021630110 title "Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling With Haar Wavelet Basis" @default.
- W3021630110 cites W143004564 @default.
- W3021630110 cites W1800346269 @default.
- W3021630110 cites W1922757677 @default.
- W3021630110 cites W1964000417 @default.
- W3021630110 cites W1967635045 @default.
- W3021630110 cites W1977252496 @default.
- W3021630110 cites W1979005107 @default.
- W3021630110 cites W1985002782 @default.
- W3021630110 cites W1987553788 @default.
- W3021630110 cites W1993039222 @default.
- W3021630110 cites W2000150201 @default.
- W3021630110 cites W2021267552 @default.
- W3021630110 cites W2029816571 @default.
- W3021630110 cites W2031191822 @default.
- W3021630110 cites W2034116808 @default.
- W3021630110 cites W2039472483 @default.
- W3021630110 cites W2061970542 @default.
- W3021630110 cites W2073389244 @default.
- W3021630110 cites W2083042020 @default.
- W3021630110 cites W2091893102 @default.
- W3021630110 cites W2094585768 @default.
- W3021630110 cites W2101675075 @default.
- W3021630110 cites W2106993026 @default.
- W3021630110 cites W2109357213 @default.
- W3021630110 cites W2114456237 @default.
- W3021630110 cites W2115451126 @default.
- W3021630110 cites W2116601705 @default.
- W3021630110 cites W2122548617 @default.
- W3021630110 cites W2129131372 @default.
- W3021630110 cites W2129638195 @default.
- W3021630110 cites W2134464598 @default.
- W3021630110 cites W2145096794 @default.
- W3021630110 cites W2145910025 @default.
- W3021630110 cites W2166087152 @default.
- W3021630110 cites W2168399082 @default.
- W3021630110 cites W2198445053 @default.
- W3021630110 cites W2271790515 @default.
- W3021630110 cites W2332637161 @default.
- W3021630110 cites W2590999013 @default.
- W3021630110 cites W2598066171 @default.
- W3021630110 cites W2731105378 @default.
- W3021630110 cites W2752856738 @default.
- W3021630110 cites W2962904605 @default.
- W3021630110 cites W2963059701 @default.
- W3021630110 cites W2963116626 @default.
- W3021630110 cites W2963134497 @default.
- W3021630110 cites W2963322354 @default.
- W3021630110 cites W2964108124 @default.
- W3021630110 cites W2964340701 @default.
- W3021630110 cites W2967685364 @default.
- W3021630110 cites W3102723347 @default.
- W3021630110 cites W3103490081 @default.
- W3021630110 cites W3103783116 @default.
- W3021630110 cites W3134508229 @default.
- W3021630110 cites W4214806317 @default.
- W3021630110 cites W4250955649 @default.
- W3021630110 cites W761890699 @default.
- W3021630110 cites W2082690749 @default.
- W3021630110 doi "https://doi.org/10.1109/tit.2020.2992852" @default.
- W3021630110 hasPublicationYear "2020" @default.
- W3021630110 type Work @default.
- W3021630110 sameAs 3021630110 @default.
- W3021630110 citedByCount "52" @default.
- W3021630110 countsByYear W30216301102020 @default.
- W3021630110 countsByYear W30216301102021 @default.
- W3021630110 countsByYear W30216301102022 @default.
- W3021630110 crossrefType "journal-article" @default.
- W3021630110 hasAuthorship W3021630110A5017508063 @default.
- W3021630110 hasAuthorship W3021630110A5053892288 @default.
- W3021630110 hasAuthorship W3021630110A5087386617 @default.
- W3021630110 hasBestOaLocation W30216301102 @default.
- W3021630110 hasConcept C105795698 @default.
- W3021630110 hasConcept C106131492 @default.
- W3021630110 hasConcept C11413529 @default.
- W3021630110 hasConcept C124851039 @default.
- W3021630110 hasConcept C134306372 @default.
- W3021630110 hasConcept C140779682 @default.
- W3021630110 hasConcept C154945302 @default.
- W3021630110 hasConcept C187029792 @default.
- W3021630110 hasConcept C196216189 @default.
- W3021630110 hasConcept C2780423554 @default.
- W3021630110 hasConcept C2781181686 @default.
- W3021630110 hasConcept C31972630 @default.
- W3021630110 hasConcept C33923547 @default.
- W3021630110 hasConcept C41008148 @default.
- W3021630110 hasConcept C46286280 @default.
- W3021630110 hasConcept C47432892 @default.
- W3021630110 hasConcept C48372109 @default.
- W3021630110 hasConcept C60292330 @default.
- W3021630110 hasConcept C80444323 @default.