Energy-Efficient Fast Fourier Transforms for Cognitive Radio Systems

@article{Airoldi2010EnergyEfficientFF,
  title={Energy-Efficient Fast Fourier Transforms for Cognitive Radio Systems},
  author={Roberto Airoldi and Omer Anjum and Fabio Garzia and Alexander M. Wyglinski and Jari Nurmi},
  journal={IEEE Micro},
  year={2010},
  volume={30},
  pages={66-76}
}
An energy-efficient fast Fourier transform (FFT) algorithm for cognitive radio communication systems uses a homogeneous multiprocessor system on chip. The algorithm allows for pruning of inputs such that algorithm complexity can be reduced whenever several of the FFT inputs are zero. Results show that the pruning algorithm significantly reduces energy consumption compared to a nonpruned version. 
11 Citations
15 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Implementation of WCDMA Cell Search on a FPGA-based MultiProcessor System-on-Chip with Power Management,’

  • R. Airoldi
  • Proc. Int’l Symp. Systems, Architectures…
  • 2009

M

  • A. M. Wyglinski
  • Nekovee, and Y.T. Hou, Cognitive Radio…
  • 2009

‘Coffee—A Core for Free,’’ IEEE Press, Proc

  • J. Kylliainen, J. Nurmi, M. Kuulusa
  • Int’l Symp. System on Chip,
  • 2003

Similar Papers

Loading similar papers…