LEADER 04694nam 22006855 450 001 9910299490303321 005 20200703231350.0 010 $a3-319-01147-2 024 7 $a10.1007/978-3-319-01147-9 035 $a(CKB)2670000000428603 035 $a(EBL)1466739 035 $a(OCoLC)876508912 035 $a(SSID)ssj0001009442 035 $a(PQKBManifestationID)11544911 035 $a(PQKBTitleCode)TC0001009442 035 $a(PQKBWorkID)10972529 035 $a(PQKB)10033134 035 $a(MiAaPQ)EBC1466739 035 $a(DE-He213)978-3-319-01147-9 035 $a(PPN)172423619 035 $a(EXLCZ)992670000000428603 100 $a20130913d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSystemC and SystemC-AMS in Practice$b[electronic resource] $eSystemC 2.3, 2.2 and SystemC-AMS 1.0 /$fby Amal Banerjee, Balmiki Sur 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (462 p.) 300 $aDescription based upon print version of record. 311 $a3-319-01146-4 320 $aIncludes bibliographical references and index. 327 $a Introduction to SystemC -- Downloading, Configuring, Installing and Starting with SystemC -- SystemC Simulation Kernel, Data Types, Communication Primitives Concurrency Control and Main Language Constructs -- Primitive Channels -- Concurrency Control -- Modelling Combinational Logic Circuits, Implicit Events, Primitive Communication Channels and Combinations -- Modelling Sequential Logic Circuits, Implicit Events, Primitive Channels and their Combinations -- Explicit SystemC Events -- Notify-Wait -- Hierarchical Combinational-Sequential System Design -- Introduction to SystemC-AMS -- Downloading, Installing and Getting Started with SystemC-AMS -- SystemC-AMS Formalisms, Data Types and Main Language Constructs -- Small Signal, Linear Domain and Hybrid Models -- Timed Data Flow (TDF) in Practice and Theory -- Linear Signal Flow (LSF) in Practice and Theory -- Electrical Linear Networks (ELN) in Practice and Theory -- Real-World Electrical Linear Networks (ELN), Linear Signal Flow (LSF) and Timed Data Flow (TDF) Combinations -- SystemC-AMS and SystemC Combinations. 330 $aThis book describes how engineers can make optimum use of the two industry standard analysis/design tools, SystemC and SystemC-AMS (SystemC 2.3, 2.2 and SystemC-AMS 1.0).  The authors use a system-level design approach, emphasizing how SystemC and SystemC-AMS features can be exploited most effectively to analyze/understand a given electronic system and explore the design space. The approach taken by this book enables system engineers to concentrate on only those SystemC/SystemC-AMS features that apply to their particular problem, leading to more efficient design. The presentation includes numerous, realistic and complete examples, which are graded in levels of difficulty to illustrate how a variety of systems can be analyzed with these tools.    ·          Designed to meet the needs of system designers who need to find an effective/efficient solution in a reasonable period of time; ·          Uses a ?hands-on? approach to demonstrate design examples that are complete, realistic and graded in level of difficulty; ·          Demonstrates the most effective use of SystemC/SystemC-AMS tool features, given a particular problem.    . 606 $aElectronic circuits 606 $aMicroprocessors 606 $aElectronics 606 $aMicroelectronics 606 $aCircuits and Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/T24068 606 $aProcessor Architectures$3https://scigraph.springernature.com/ontologies/product-market-codes/I13014 606 $aElectronics and Microelectronics, Instrumentation$3https://scigraph.springernature.com/ontologies/product-market-codes/T24027 615 0$aElectronic circuits. 615 0$aMicroprocessors. 615 0$aElectronics. 615 0$aMicroelectronics. 615 14$aCircuits and Systems. 615 24$aProcessor Architectures. 615 24$aElectronics and Microelectronics, Instrumentation. 676 $a004.1 676 $a004.2 676 $a620 676 $a621.381 700 $aBanerjee$b Amal$4aut$4http://id.loc.gov/vocabulary/relators/aut$0851981 702 $aSur$b Balmiki$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299490303321 996 $aSystemC and SystemC-AMS in Practice$91951233 997 $aUNINA LEADER 06015nam 2200553 450 001 996464441103316 005 20220126142329.0 010 $a3-030-76657-8 024 7 $a10.1007/978-3-030-76657-3 035 $a(CKB)4100000011931050 035 $a(DE-He213)978-3-030-76657-3 035 $a(MiAaPQ)EBC6623996 035 $a(Au-PeEL)EBL6623996 035 $a(OCoLC)1251800298 035 $a(PPN)255881525 035 $a(EXLCZ)994100000011931050 100 $a20220126d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDiscrete geometry and mathematical morphology $efirst International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24-27, 2021, proceedings /$fJoakim Lindblad, Filip Malmberg, Natas?a Sladoje (editors) 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (XIV, 552 p. 194 illus., 146 illus. in color.) 225 1 $aLecture Notes in Computer Science ;$v12708 311 $a3-030-76656-X 327 $aInvited papers -- Some Open Questions on Morphological Operators and Representations in the Deep Learning Era -- Split Trees -A Unifying Model For Many Important Random Trees Of Logarithmic Height: A Brief Survey -- On topological analysis of cells organization in biological images -- Applications in Image Processing, Computer Vision, and Pattern Recognition -- A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation -- Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation -- Automatic forest road extraction from LiDAR data of mountainous areas -- Fast Pattern Spectra using Tree Representation of the Image for Patch Retrieval -- Watershed-based attribute profiles for pixel classification of remote sensing data -- Discrete and Combinatorial Topology -- Completions, perforations and fillings -- Body Centered Cubic Grid --- Coordinate System and Discrete Analytical Plane Definition -- Digital convex + unimodular mapping = almost 4-connected -- Distance-Oriented Surface Skeletonization on the Face-Centered Cubic Grid -- Homotopic Digital Rigid Motion: An Optimization Approach on Cellular Complexes -- Locally turn-bounded curves are quasi-regular -- Discrete Geometry - Models, Transforms, Visualization.-Shear based Bijective Digital Rotation in Hexagonal Grids -- An isometry classification of periodic point sets -- Visiting bijective digitized reflections and rotations using geometric algebra -- Digital Straight Segment Filter for Geometric Description -- An alternative definition for digital convexity -- Digital geometry for the dual of some semi-regular tessellations -- Discrete Tomography and Inverse Problems -- On the geometric aspects of the class of hv-convex switching components -- Properties of unique degree sequences of 3-uniform hypergraphs -- Power sum polynomials in a discrete tomography perspective.-On the reconstruction of 3-uniform hypergraphs from step-two degree sequences.-Hierarchical and Graph-based Models, Analysis and Segmentation -- Towards Interactive Image Segmentation by Dynamic and Iterative Spanning Forest -- Stability of the tree of shapes to additive noise -- An algebraic framework for out-of-core hierarchical segmentation algorithms.-Fuzzy-marker-based segmentation using hierarchies.-Graph-based Supervoxel Computation from Iterative Spanning Forest -- Graph-based M-tortuosity estimation -- A maximum-flow model for digital elastica shape optimization -- Image Segmentation by Relaxed Deep Extreme Cut with Connected Extreme Points -- Learning-based Approaches to Mathematical Morphology -- On some associations between mathematical morphology and artificial intelligence -- Going beyond p-convolutions to learn grayscale morphological operators -- Scale Equivariant Neural Networks with Morphological Scale-Spaces -- Multivariate and PDE-based Mathematical morphology, Morphological Filtering -- Eigenfunctions of Ultrametric Morphological Openings and Closings -- Measuring the Irregularity of Vector-valued Morphological Operators using Wasserstein Metric -- An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-D -- Sparse Approximate Solutions to Max-Plus Equations. 330 $aThis book constitutes the proceedings of the First IAPR International Conference on Discrete Geometry and Mathematical Morphology, DGMM 2021, which was held during May 24-27, 2021, in Uppsala, Sweden. The conference was created by joining the International Conference on Discrete Geometry for computer Imagery, DGCI, with the International Symposium on Mathematical Morphology, ISMM. The 36 papers included in this volume were carefully reviewed and selected from 59 submissions. They were organized in topical sections as follows: applications in image processing, computer vision, and pattern recognition; discrete and combinatorial topology; discrete geometry - models, transforms, visualization; discrete tomography and inverse problems; hierarchical and graph-based models, analysis and segmentation; learning-based approaches to mathematical morphology; multivariate and PDE-based mathematical morphology, morphological filtering. The book also contains 3 invited keynote papers. 410 0$aLecture notes in computer science ;$v12708. 606 $aDiscrete geometry$vCongresses 606 $aCombinatorial geometry$vCongresses 606 $aCombinatorial geometry 615 0$aDiscrete geometry 615 0$aCombinatorial geometry 615 0$aCombinatorial geometry. 676 $a516.11 702 $aLindblad$b Joakim 702 $aMalmberg$b Filip 702 $aSladoje$b Natas?a 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464441103316 996 $aDiscrete Geometry and Mathematical Morphology$91902283 997 $aUNISA