2015 International Conference on Pervasive Computing (ICPC) 2015
DOI: 10.1109/pervasive.2015.7087124
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Review on FFT architecture for real valued signals using Radix 2<sup>5</sup> algorithm

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“…The calculations of the FFT using the samples from the real input is not optimized for them (RFFT). Most of the physical signals are real [7,8]. The FFT of realvalued data is used in many different types of applications, including voice, video, and image processing [9], and optical wireless communication (OWC), Therefore, it is necessary to use algorithms that specifically deal only with real signals [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…The calculations of the FFT using the samples from the real input is not optimized for them (RFFT). Most of the physical signals are real [7,8]. The FFT of realvalued data is used in many different types of applications, including voice, video, and image processing [9], and optical wireless communication (OWC), Therefore, it is necessary to use algorithms that specifically deal only with real signals [10,11].…”
Section: Introductionmentioning
confidence: 99%