Wideband spectrum sensing using modulated wideband converter and data reduction invariant algorithms

HIGHLIGHTS

  • who: Gilles Burel and collaborators from the CNRS, Labu2011STICC, CS, Gorgeu, , France have published the paper: Wideband Spectrum Sensing Using Modulated Wideband Converter and Data Reduction Invariant Algorithms, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
  • what: The research work presented in this paper is mainly related to the wideband spectrum sensing problem, which consists of detecting the occupied or active frequency bands, at a given moment and in a given place, over a very large frequency domain (e_g, larger than 1 GHz). Since the contribution presented in this paper is . . .

     

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