Optimization of fast fourier transform processor using genetic algorithm on Raspberry Pi
In many areas of engineering and science are widely using FFT processors in most of their applications, thus, the modern science requires continuously new optimizations which includes the FFT processor to have a lower power consumption and a smaller size. This paper revolves around the 16-point Radi...
Saved in:
Main Authors: | Ghazi, Firas Faisal, Sulaiman, Nasri |
---|---|
Format: | Article |
Language: | English |
Published: |
World Academy of Research in Science and Engineering
2019
|
Online Access: | http://psasir.upm.edu.my/id/eprint/81568/1/NOISE.pdf http://psasir.upm.edu.my/id/eprint/81568/ http://www.warse.org/IJATCSE/years/archivesDetiles/?heading=Volume%208%20No.%201.6%20(2019)%20S%20I |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of fast fourier transform based on twiddle factor using genetic algorithm on raspberry pi
by: Ghazi, Firas Faisal
Published: (2019) -
Pipelined fast Fourier transform (FFT) processor power optimization
by: Mohd Hassan, Siti Lailatul, et al.
Published: (2019) -
Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization
by: Pang, Jia Hong
Published: (2011) -
Signal-to-noise ratio study on pipelined fast fourier transform processor
by: Hassan, Siti Lailatul, et al.
Published: (2018) -
Fast fourier transform module for implementation in Nios II embedded processor
by: Ahmed, Hisham Azhari
Published: (2008)