02910nam 22005895 450 991048301270332120230810164527.09783030164928303016492610.1007/978-3-030-16492-8(CKB)4100000008280495(MiAaPQ)EBC5780332(DE-He213)978-3-030-16492-8(Perlego)3495223(EXLCZ)99410000000828049520190525d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierEthnic Media and Democracy From Liberalism to Agonism /by John Budarick1st ed. 2019.Cham :Springer International Publishing :Imprint: Palgrave Macmillan,2019.1 online resource (196 pages)9783030164911 3030164918 Chapter 1: Introduction: Media, Democracy and Difference -- Chapter 2: Ethnic Media -- Chapter 3: Liberal Democracy -- Chapter 4: Deliberative Democracy and the Public Sphere -- Chapter 5: Agnostic Pluralism -- Chapter 6: Understanding ethnic media through agonism -- Chapter 7: Conclusions and Ways Forward.Placing ethnic media within the context of democratic theory, this book suggests novel ways of thinking about media from the margins. After discussing ethnic media research and defining the concept, John Budarick provides a succinct and in depth discussion of liberal democracy, deliberative democracy and agonistic pluralism, critiquing the explanatory and normative power of each in relation to media, journalism and ethnic diversity. Ultimately, Ethnic Media and Democracy demonstrates the power of agnostic pluralism, an underused theory in media studies that provides a framework for analysing ethnic media. By using this unique approach, the book engages with some of the most pressing issues in the fields of media, politics and democracy, and prompts innovation in the application of traditional models.CommunicationMass mediaPolitical aspectsCultural policyRaceMedia and CommunicationMedia Policy and PoliticsCultural Policy and PoliticsRace and Ethnicity StudiesCommunication.Mass mediaPolitical aspects.Cultural policy.Race.Media and Communication.Media Policy and Politics.Cultural Policy and Politics.Race and Ethnicity Studies.306302.23089Budarick Johnauthttp://id.loc.gov/vocabulary/relators/aut1226375BOOK9910483012703321Ethnic Media and Democracy2847561UNINA01213nam2 2200313 i 450 CFI005657320251003044116.0IT88-5291 20230619d1982 ||||0itac50 baitaitz01i xxxe z01nz01ncRDAcarrier1Alessandro NatucciPadovaCEDAM1982VII, 185 p.24 cm.Collana di studi giuridici11001CFI00557272001 Collana di studi giuridici1171201Università degli studi <Padova> : Facoltà di economia e commercio <Verona>CFIV010575001CFI00172102001 ˆLa ‰tipicità dei diritti realiAlessandro Natucci1Diritti realiFIRCFIC019164E346.4504DIRITTO DELLA PROPRIETA. ITALIA23ITIT-00000020230619IT-BN0095 CFI0056573Biblioteca Centralizzata di Ateneo 01D (AR) 5 717 01AR 0070057175 VMA A4(0001 v. 1Y 2023061920230619Fondo ChiomentiEx Libris 01161339UNISANNIO05853nam 2201477z- 450 991055769330332120260123185928.0(CKB)5400000000044598(oapen)https://directory.doabooks.org/handle/20.500.12854/68367(oapen)doab68367(EXLCZ)99540000000004459820202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSensor Signal and Information Processing IIIBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (394 p.)3-0365-0012-X 3-0365-0013-8 In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem-solving. These algorithms have the capacity to generalize and discover knowledge for themselves and to learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves the mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topics range from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspired filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensor signal processing.History of engineering and technologybicsscADMMAkaike information criterionaluminum ingotaudio signal processingBayesian trackingblind signal separationbrain CT imagebrain-computer interfacecomplexitycompressed sensingcomputational efficiencycomputed tomographycosine lossCSIcyclic spectrumdata reductiondecision tree-support vector machinedeep learningdictionary learningDifference of Gaussiandual-function radar-communicationsEEGequivalent bias anglesfingerprintingfrequency-hopping codegearbox faultgeometric calibrationhigh-order cumulanthuman-robot interactionimage captioningimage reconstructionimage registrationinception-v3indoor localizationinformation embeddinginternet of thingsInternet of Things (IoT)inverse problemskalman filterLaplacian scoreslarge deformationlinear array push-broom sensorlong short-term memory networklong- and short-period errorsLoRaWANlow-dose CTmachine learningmask gradient responsemedical image registrationmicro-vibrationmodulation classificationmotor imagerymultiple-input multiple-output (MIMO)mutual information (mi)n/aneural networknoise filteringnon-rigid transformationnonlinear autoregressivenonlocal total variationnonnegative matric factorizationpermutation entropy (PE)pianistsproximal splittingreaction wheelregistration accuracyreverse dispersion entropy (RDE)reverse permutation entropy (RPE)row-actionsensor signalsensorssignal denoisingsignal detectionsimilarity measuresingular value decompositionsleep stagesound event classificationsparse recoverysparse-view CTspectroscopystable recoverystate space modelsupport vector machinessurface inspectiontensor principal component pursuittensor SVDthe multi-inputs convolutional neural networksthe single shot multibox detector networksthree-dimensional (3D) visiontime series analysiswaveform optimizationwavelet packetweakly supervisedweighted-permutation entropy (W-PE)wind turbineHistory of engineering and technologyWoo Wai Lokedt1327837Gao Bin1974-edtBOOK9910557693303321Sensor Signal and Information Processing III3038162UNINA