Please use this identifier to cite or link to this item:
|Title:||Comment on the computational complexity of sliding FFT|
|Authors:||Farhang-Boroujeny, B. |
|Citation:||Farhang-Boroujeny, B., Lim, Y.C. (1992-12). Comment on the computational complexity of sliding FFT. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 39 (12) : 875-876. ScholarBank@NUS Repository. https://doi.org/10.1109/82.208583|
|Abstract:||The sliding fast Fourier transform (FFT) is reviewed and is shown to have the computational complexity of N complex multiplications per sample, as opposed to the well-cited assumption of (N/2) log2 N complex multiplication per sample reported in .|
|Source Title:||IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 20, 2019
WEB OF SCIENCETM
checked on Mar 5, 2019
checked on Mar 2, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.