LEADER 02790nam 2200661 a 450 001 9910459372303321 005 20200520144314.0 010 $a1-282-70113-4 010 $a9786612701139 010 $a1-4399-0482-0 035 $a(CKB)2670000000034560 035 $a(EBL)557346 035 $a(OCoLC)652654422 035 $a(SSID)ssj0000419773 035 $a(PQKBManifestationID)11286357 035 $a(PQKBTitleCode)TC0000419773 035 $a(PQKBWorkID)10384038 035 $a(PQKB)10488564 035 $a(MiAaPQ)EBC557346 035 $a(OCoLC)650350440 035 $a(MdBmJHUP)muse15625 035 $a(Au-PeEL)EBL557346 035 $a(CaPaEBR)ebr10400498 035 $a(CaONFJC)MIL270113 035 $a(EXLCZ)992670000000034560 100 $a19960812d1997 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHollywood's new deal$b[electronic resource] /$fGiuliana Muscio 210 $aPhiladelphia $cTemple University Press$d1997 215 $a1 online resource (273 p.) 225 1 $aCulture and the moving image 300 $aDescription based upon print version of record. 311 $a1-56639-496-1 311 $a1-56639-495-3 320 $aIncludes bibliographical references (p. 201-248) and index. 327 $aContents; Acknowledgments; Introduction; 1. The New Deal and the Media; 2. Hollywood and Washington; 3. Cinema and the New Deal; 4. The Film Industry in the Thirties; 5. The Paramount Case; Conclusion; Notes; Index 330 $aDespite the economic hardship of the thirties, people flocked to the movies in unprecedented numbers. At the same time, the Roosevelt Administration was trying to implement the New Deal and increase the influence and power of the federal government. Weaving together film and political history, Giuliana Muscio traces the connections between Depression Era Hollywood and the popularity of FDR, asserting that politics transformed its public into spectators while the movie industry transformed its spectators into a public. Hollywood's New Deal reveals the ways in which this reciproca 410 0$aCulture and the moving image. 606 $aMotion pictures$xPolitical aspects$zUnited States 606 $aNew Deal, 1933-1939 606 $aMotion pictures$xEconomic aspects$zUnited States 608 $aElectronic books. 615 0$aMotion pictures$xPolitical aspects 615 0$aNew Deal, 1933-1939. 615 0$aMotion pictures$xEconomic aspects 676 $a302.23/43/0973 700 $aMuscio$b Giuliana$0528007 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910459372303321 996 $aHollywood's new deal$92443696 997 $aUNINA LEADER 03323nam 2200589 450 001 996209963303316 005 20220715222302.0 010 $a1-118-57977-1 010 $a1-118-57974-7 010 $a1-118-57973-9 035 $a(CKB)2670000000432331 035 $a(EBL)1443829 035 $a(OCoLC)861558924 035 $a(SSID)ssj0001173036 035 $a(PQKBManifestationID)11608947 035 $a(PQKBTitleCode)TC0001173036 035 $a(PQKBWorkID)11193392 035 $a(PQKB)10017191 035 $a(MiAaPQ)EBC1443829 035 $a(Au-PeEL)EBL1443829 035 $a(CaPaEBR)ebr10780752 035 $a(PPN)178460338 035 $a(EXLCZ)992670000000432331 100 $a20131029d2013 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBlind identification and separation of complex-valued signals /$fEric Moreau, Tu?lay Adal? 210 1$aLondon :$cISTE,$d2013. 215 $a1 online resource (108 p.) 225 1 $aFocus : digital signal and image processing series,$x2051-2481 300 $aDescription based upon print version of record. 311 $a1-84821-459-6 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Contents; Preface; Acknowledgments; Chapter 1. Mathematical Preliminaries; 1.1. Introduction; 1.2. Linear mixing model; 1.3. Problem definition; 1.4. Statistics; 1.4.1. Statistics of random variables and random vectors; 1.4.2. Differential entropy of complex random vectors; 1.4.3. Statistics of random processes; 1.4.4. Complex matrix decompositions; 1.5. Optimization: Wirtinger calculus; 1.5.1. Scalar case; 1.5.2. Vector case; 1.5.3. Matrix case; 1.5.4. Summary; Chapter 2. Estimation by Joint Diagonalization; 2.1. Introduction 327 $a3.2.1. Mutual information and mutual information rate minimization3.2.2. Maximum likelihood; 3.2.3. Identifiability of the complex ICA model; 3.3. Algorithms; 3.3.1. ML ICA: unconstrained W; 3.3.2. Complex maximization of non-Gaussianity: ML ICA with unitary W; 3.3.3. Density matching; 3.3.4. A flexible complex ICA algorithm: Entropy bound minimization; 3.4. Summary; Bibliography; Index 330 $aBlind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind estimation of the inverse of the system. Estimation is generally carried out using different statistics of the output. The authors of this book consider the blind identification and source separation problem in the complex-domain, where the available statistical properties are richer and include non-circularity of the sources - underlying components. They define identifiability conditions and present state-of-the-art algorithms that are based on algebra 410 0$aDigital signal and image processing series. 606 $aSignal processing$xStatistical methods 615 0$aSignal processing$xStatistical methods. 676 $a108 700 $aMoreau$b Eric$0958804 701 $aAdali$b Tu?lay$0845678 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996209963303316 996 $aBlind identification and separation of complex-valued signals$92897840 997 $aUNISA