LEADER 02527nam0 2200529 i 450 001 VAN0124337 005 20230703115023.509 017 70$2N$a9783319698021 100 $a20191015d2017 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aCompressed sensing and its applications$eSecond International MATHEON Conference 2015$fHolger Boche ... [et al.] editors 210 $aCham$cBirkhäuser$d2017 215 $axix, 388 p.$cill.$d24 cm 410 1$1001VAN0044485$12001 $aApplied and numerical harmonic analysis$1210 $aBoston [etc.]$cBirkhäuser 500 1$3VAN0235473$aCompressed sensing and its applications : Second International MATHEON Conference 2015$91522582 606 $a90C25$xConvex programming [MSC 2020]$3VANC019709$2MF 606 $a68U10$xComputing methodologies for image processing [MSC 2020]$3VANC019978$2MF 606 $a15B52$xRandom matrices (algebraic aspects) [MSC 2020]$3VANC022602$2MF 606 $a94A12$xSignal theory (characterization, reconstruction, filtering, etc.) [MSC 2020]$3VANC023237$2MF 606 $a94A20$xSampling theory in information and communication theory [MSC 2020]$3VANC029597$2MF 610 $aCompressed Sensing$9KW:K 610 $aDimensionality reduction$9KW:K 610 $aFourier phase retrieval$9KW:K 610 $aHilbert spaces$9KW:K 610 $aInformation Theory$9KW:K 610 $aInformation and communication, circuits$9KW:K 610 $aMatrix theory$9KW:K 610 $aRandom matrices$9KW:K 610 $aSparse approximation$9KW:K 610 $aSparse probability measures$9KW:K 610 $aSparse recovery$9KW:K 610 $aStochastic block model$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aBoche$bHolger$3VANV087521 712 12$aInternational MATHEON Conference$d2.$f2015$eBerlin$3VANV095775 712 $aBirkhäuser $3VANV108193$4650 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-69802-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0124337 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0599 $e08eMF599 20191015 996 $aCompressed sensing and its applications$91522582 997 $aUNICAMPANIA