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Advanced signal processing algorithms for wireless communications

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Date
2006
Author
Panayirci, Erdal
Cirpan, Hakan Ali
Abstract
Traditional wireless technologies are not well suited to meet the extremely demanding requirements of providing the very high data rates with the ubiquity mobility and portability characteristic of cellular systems. Some fundamental barriers related to the nature of the radio channel as well as the limited bandwidth availability at the frequencies of interest stand in the way. Unique sets of efficient advanced signal processing algorithms and techniques is the one of the primary enablers that will allow lifting these limits primarily due to the impressive advent of low cost and low power digital signal processors. As an application of advanced signal processing techniques we will consider the solution of blind phase noise estimation and data detection problem via a computationally efficient sequential Monte Carlo (SMC) methodology in this paper.

Source

Complex Computing-Networks: Brain-Like And Wave-Oriented Electrodynamic Algorithms

Volume

104

Pages

333-

URI

https://hdl.handle.net/20.500.12469/1245
https://link.springer.com/chapter/10.1007/3-540-30636-6_37

Collections

  • Araştırma Çıktıları / WOS [1335]
  • Elektrik-Elektronik Mühendisliği / Electrical - Electronics Engineering [330]

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