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Roberto Airoldi, Omer Anjum, Fabio Garzia, Alexander Wyglinski, Jari Nurmi, "EnergyEfficient Fast Fourier Transforms for Cognitive Radio Systems," IEEE Micro, vol. 30, no. 6, pp. 6676, November/December, 2010.  
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@article{ 10.1109/MM.2010.84, author = {Roberto Airoldi and Omer Anjum and Fabio Garzia and Alexander Wyglinski and Jari Nurmi}, title = {EnergyEfficient Fast Fourier Transforms for Cognitive Radio Systems}, journal ={IEEE Micro}, volume = {30}, number = {6}, issn = {02721732}, year = {2010}, pages = {6676}, doi = {http://doi.ieeecomputersociety.org/10.1109/MM.2010.84}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  MGZN JO  IEEE Micro TI  EnergyEfficient Fast Fourier Transforms for Cognitive Radio Systems IS  6 SN  02721732 SP66 EP76 EPD  6676 A1  Roberto Airoldi, A1  Omer Anjum, A1  Fabio Garzia, A1  Alexander Wyglinski, A1  Jari Nurmi, PY  2010 KW  multiprocessor system on chip KW  energy efficiency KW  cognitive radio KW  NCOFDM KW  FFT pruning KW  parallel algorithms. VL  30 JA  IEEE Micro ER   
An energyefficient 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.
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