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: K-Best Decoders for 5G+ Wireless Communication
  name:
    name part: Rahman, Mehnaz.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Choi, Gwan S.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 64 p. 37 illus., 5 illus. in color. online resource.
  abstract: This book discusses new, efficient and hardware realizable algorithms that can attain the performance of beyond 5G wireless communication. The authors explain topics gradually, stepping from basic MIMO detection to optimized schemes for both hard and soft domain MIMO detection and also to the feasible VLSI implementation, scalable to any MIMO configuration (including massive MIMO, used in satellite/space communication). The techniques described in this book enable readers to implement real designs, with reduced computational complexity and improved performance.
  table of contents: Introduction -- Background -- Real Domain Iterative K-best Detector -- Complex Domain Iterative K-best Decoder -- Fixed Point Realization of Iterative K-best Decoder -- Adaptive Real Domain Iterative K-best Decoder -- Conclusion -- References.
  note: by Mehnaz Rahman, Gwan S. Choi.
  subject:
    topic: Engineering
  subject:
    topic: Electronics
  subject:
    topic: Microelectronics
  subject:
    topic: Electronic circuits
  subject:
    topic: Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Circuits and Systems
  subject:
    topic: Electronics and Microelectronics, Instrumentation
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319428093
  identifier: http://dx.doi.org/10.1007/978-3-319-42809-3
  record info:
    record creation date: 160831
    record change date: 20160831161441.0
    record identifier: 978-3-319-42809-3