Sparse Cyclic Coordinate Descent for Efficient Frequency Estimation

  • Yuneisy Garcia Guzman (Speaker)

Activity: Talk or presentation › Contributed talk › science-to-science

Description

We present an approach for low complexity frequency estimation based on Sparse Cyclic Coordinate Descent (SCCD). We demonstrate that contrary to the Root-MUltiple Signal Classification (Root-MUSIC) algorithm, the complexity of our proposed algorithm only scales linearly with the number of measurements as well as the number of frequencies considered on a grid. The presented algorithm is especially suited for digital hardware implementations. Simulations show that it achieves comparable estimation results than Root-MUSIC.
Period17 Dec 2019
Event titleSparse cyclic coordinate descent for efficient frequency estimation
Event typeConference
LocationGuadeloupeShow on map

Fields of science

  • 202017 Embedded systems
  • 202015 Electronics
  • 202037 Signal processing
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202023 Integrated circuits
  • 202022 Information technology
  • 202041 Computer engineering

JKU Focus areas

  • Digital Transformation

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