An Ultra-Area-Efficient 1024-Point In-Memory FFT Processor
Keyword(s):
Current computation architectures rely on more processor-centric design principles. On the other hand, the inevitable increase in the amount of data that applications need forces researchers to design novel processor architectures that are more data-centric. By following this principle, this study proposes an area-efficient Fast Fourier Transform (FFT) processor through in-memory computing. The proposed architecture occupies the smallest footprint of around 0.1 mm 2 inside its class together with acceptable power efficiency. According to the results, the processor exhibits the highest area efficiency ( FFT / s / area ) among the existing FFT processors in the current literature.
2007 ◽
Vol 51
(3)
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pp. 245-256
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Keyword(s):
Static quantised radix-2 fast Fourier transform (FFT)/inverse FFT processor for constraints analysis
2013 ◽
Vol 101
(2)
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pp. 231-240
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2021 ◽
Vol 13
(2)
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pp. 124-129
Keyword(s):
2017 ◽
Vol 1
(02)
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pp. 28-36
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2006 ◽
Vol E89-B
(4)
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pp. 1425-1429
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2005 ◽
Keyword(s):
2019 ◽
Vol 8
(4)
◽
pp. 8533-8538