Performance Estimation of Low Power and Area-Efficient Parallel Pipelined FFT

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Measurement Science Review vol. 25, no. 3 (2025), p. 134
मुख्य लेखक: Surya, P
अन्य लेखक: Arunachalaperumal, C, Dhilipkumar, S
प्रकाशित:
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
विषय:
ऑनलाइन पहुंच:Citation/Abstract
Full Text - PDF
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022 |a 1335-8871 
024 7 |a 10.2478/msr-2025-0016  |2 doi 
035 |a 3222964906 
045 2 |b d20250501  |b d20250630 
084 |a 190843  |2 nlm 
100 1 |a Surya, P  |u Research Scholar, Anna University, Chennai, 600025, Tamil Nadu, India 
245 1 |a Performance Estimation of Low Power and Area-Efficient Parallel Pipelined FFT 
260 |b De Gruyter Brill Sp. z o.o., Paradigm Publishing Services  |c 2025 
513 |a Journal Article 
520 3 |a We present a novel parallel and pipelined fast Fourier transform (FFT) architecture for high-speed and low-power applications, a critical component in wireless communications and digital signal processors. The new FFT model implements a data-inverted Vedic multiplier in the FFT architecture, which reduces data switching activity in the input patterns to minimize dynamic power consumption and computational delay. The proposed architecture incorporates a low-power bit inversion (BI) multiplier scheme for a minimum number of complex multiplications with a high-speed partial product generation technique in FFT computation. This research focuses on the investigation and implementation of a modified butterfly unit as the best choice compared to other low-power and high-speed multipliers, such as Booth and Wallace multipliers for FFT processors. The BI multiplier design was synthesized in a field programmable gate array (FPGA), and the results show that the area efficiency could be improved by about 30 % and the power consumption and delay could be reduced by 56 %. The proposed FFT processor utilizes only 8 % of the available look-up tables (LUTs) with a 1:3 ratio in resource utilization and a 56 % reduction in delays compared to previous research. This makes this architecture best suited for high-speed wireless communications and 5G applications. This BI-Vedic multiplier is used in convolutions, FFT, and digital signal processing (DSP) filters where fast multiplication is critical. Throughput in applications with real-time signals is improved. It is also used in image and video processing and is critical for algorithms that manipulate pixels, scale, and compress data when many multiplications need to be performed quickly. IoT and embedded systems are beneficial for low-power systems as BI reduces power consumption and switching activity. 
653 |a Wireless communications 
653 |a Image manipulation 
653 |a Embedded systems 
653 |a Computer architecture 
653 |a Digital signal processing 
653 |a Video 
653 |a Fourier transforms 
653 |a Lookup tables 
653 |a Multipliers 
653 |a Microprocessors 
653 |a Fast Fourier transformations 
653 |a Time signals 
653 |a High speed 
653 |a Power management 
653 |a Processors 
653 |a Field programmable gate arrays 
653 |a Digital signal processors 
653 |a Resource utilization 
653 |a Critical components 
653 |a Real time 
653 |a Image processing 
653 |a Power consumption 
653 |a Signal processing 
653 |a Algorithms 
653 |a Image processing systems 
700 1 |a Arunachalaperumal, C  |u Professor, Department of Electronics and Communication Engineering, Ramco Institute of Technology, Rajapalayam, 626117, Tamil Nadu, India 
700 1 |a Dhilipkumar, S  |u Assistant Professor, Department of Electronics and Communication Engineering, Loyola ICAM College of Engineering and Technology (LICET), Chennai, 600034, Tamil Nadu, India 
773 0 |t Measurement Science Review  |g vol. 25, no. 3 (2025), p. 134 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3222964906/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3222964906/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch