Design and power measurement of different points FFT using Radix-2 algorithm for FPGA implementation

Patrikar, Mayura; Tehre, Vaishali

doi:10.1109/iceca.2017.8203669

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…This complexity reduction has been attained at various degrees by the algorithms that came after. The Radix-2 algorithm used in the Cooley-Tukey procedure [19]. The Radix-3, Radix-4, and Mixed Radix algorithms were the radix algorithms that were created after that.…”

Section: Fft Implementation Algorithmsmentioning

confidence: 99%

Efficient Cyclostationary Spectrum Sensing Using Low Complexity FFT Algorithms

H. Abood,

Hikmat N. Abdullah

2024

Iraqi Journal of ICT

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One of the major problems of cyclostationary spectrum sensing (CSS) system in cognitive radios (CR) are the implementation complexity. One possible way to reduce CSS complexity is to use efficient algorithms for performing Fast Fourier Transformation (FFT). Over the years, a lot of different FFT algorithms have been created. This includes the Split-Radix algorithm., the Fast Hartley Transform (FHT), and slide DFT. This paper investigates the suitable FFT algorithm among the aforementioned techniques, cyclostationary feature detection (CFD)-based spectrum sensing stands out. The methods have been thoroughly compared based on computational time, object size, code size, data dependence (real or complex), and the amount of mathematical operations involved in the computations. Simulation results show that slide FFT is the suitable frequency domain transformation algorithm to use in implementing cyclostationary spectrum sensing in cognitive radios as compared to the other considered algorithms where it provides a significant reduction in FFT stage computation complexity reach to 17% in SRFFT , 78% in FHT and 82% in SDFT while keeping the detection probability at satisfactory level.

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Section: Fft Implementation Algorithmsmentioning

confidence: 99%

Efficient Cyclostationary Spectrum Sensing Using Low Complexity FFT Algorithms

H. Abood,

Hikmat N. Abdullah

2024

Iraqi Journal of ICT

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“…Fast Fourier Transform (FFT) is the most implemented DSP technique in FPGAs, with near to 677 documents related to it. Here, we found CORDIC-based FFT [531][532][533][534][535][536], double-precision floating-point FFT [537], OFDM systems based in FFT [538][539][540][541][542], radix-2 FFT [543,544] and radix-4 FFT [533,[545][546][547] implementations. The Discrete Wavelet Transform (DWT) is a wavelet transform by a certain orthonormal series generated by a discrete wavelet to capture both frequency and location information [548].…”

Section: Digital Signal Processingmentioning

confidence: 99%

Field Programmable Gate Array Applications—A Scientometric Review

2019

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Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications.

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