rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Focal-Plane Sensor-Processor Chips
  name:
    name part: Zarándy, Ákos.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 305 p. online resource.
  abstract: Focal-Plane Sensor-Processor Chips Edited by: Ákos Zarándy Focal-plane sensor-processor imager devices are sensor arrays and processor arrays embedded in each other on the same silicon chip. This close coupling enables ultra-fast processing even on tiny, low power devices, because the slow and energetically expensive transfer of the large amount of sensory data is eliminated. This technology also makes it possible to produce locally adaptive sensor arrays, which can (similarly to the human retina) adapt to the large dynamics of the illumination in a single scene. This book introduces a selection of the state-of-the-art focal-plane sensor-processor (FPSP) array chips, design concepts, and some applications. It provides an overview of focal plane chip technology, smart imagers and cellular wave computers, along with numerous examples of current vision chips, 3D sensor-processor arrays and their applications. Coverage includes not only the technology behind the devices, but also their near- and mid-term research trends. •Describes a variety of state-of-the-art vision chips; •Introduces opportunities offered by the technology through application examples such as oCompact, low power, high performance visual devices; oUltra-high speed visual decision making; oBio-inspired algorithms; •Includes coverage of adaptive sensing and smart sensors; •Describes 3D silicon integration into sensor-processor arrays; •Discusses future trends for applying memristors in topographic processor arrays.
  table of contents: Overview of focal plane chip technology -- smart imagers; cellular wave computers -- State-of-the-art focal-plane sensor-processor chips -- Ultra-high binary morphology processor applying asynchronous digital waves -- Introduction of the MIPA 4 chip -- Robust Focal-Plane Analog Processing Hardware for Dynamic Texture Segmentation -- A Focal Plane Processor for Continuous-Time 1-D Optical Correlation Applications -- A pixel-parallel cellular processor array in a stacked three-layer 3D silicon-on-insulator technology -- VISCUBE: a multi-layer vision chip -- THz detector sensor-processor array -- Nonlinear processing with Memristive arrays -- Bionic Eye-glass for guiding blind people -- Bio-inspired approaching object identification algorithms -- Cellular Neural Network (CNN) Based Control Algorithms for Omni directional Laser Welding Processes. .
  note: edited by Ákos Zarándy.
  subject:
    topic: Engineering
  subject:
    topic: Computer-aided engineering
  subject:
    topic: Electronic circuits
  subject:
    topic: Engineering
  subject:
    topic: Circuits and Systems
  subject:
    topic: Computer-Aided Engineering (CAD, CAE) and Design
  classification: TK7888.4
  classification: 621.3815
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781441964755
  identifier: http://dx.doi.org/10.1007/978-1-4419-6475-5
  record info:
    record creation date: 110225
    record change date: 20151125192848.0
    record identifier: 978-1-4419-6475-5