article · 2025
An Area-Energy Efficient Reconfigurable Single-Bit FFT Processor with ROM-Less Twiddle Factor Generation
Ziwei Wang, Weiwei Shi, Jiasheng Wu
Cited by 0Abstract and details only
Abstract
Hardware implementation of the Fast Fourier Transform (FFT) for low-power edge applications is constrained by area and power overhead of twiddle factor ROMs. This paper presents an area- and energy-efficient, reconfigurable FFT processor op-timized for single-bit data streams. The design features a ROM-less twiddle factor generation unit based on approximate plane-fitting complex multiplication. Implemented using a binary-tree-optimized Single-path Delay Feedback (SDF) architecture, the processor supports dynamic reconfiguration for 8192/4096/2048/1024-point transforms. Designed for 40nm CMOS technology, the processor demonstrates significant advantages in area and energy efficiency over conventional ROM-based designs.
Cite this paper
Wang, Z., Shi, W., & Wu, J. (2025). An Area-Energy Efficient Reconfigurable Single-Bit FFT Processor with ROM-Less Twiddle Factor Generation. https://doi.org/10.1109/icta68203.2025.11329759
Wang, Ziwei, et al. “An Area-Energy Efficient Reconfigurable Single-Bit FFT Processor with ROM-Less Twiddle Factor Generation.” 2025, pp. 115–16, https://doi.org/10.1109/icta68203.2025.11329759.
Wang, Ziwei, Weiwei Shi, and Jiasheng Wu. 2025. “An Area-Energy Efficient Reconfigurable Single-Bit FFT Processor with ROM-Less Twiddle Factor Generation.” https://doi.org/10.1109/icta68203.2025.11329759.
Wang, Z., Shi, W. and Wu, J. (2025) ‘An Area-Energy Efficient Reconfigurable Single-Bit FFT Processor with ROM-Less Twiddle Factor Generation’. Available at: https://doi.org/10.1109/icta68203.2025.11329759.
@article{wang2025area,
title = {{An Area-Energy Efficient Reconfigurable Single-Bit FFT Processor with ROM-Less Twiddle Factor Generation}},
author = {Wang, Ziwei and Shi, Weiwei and Wu, Jiasheng},
pages = {115--116},
year = {2025},
doi = {10.1109/icta68203.2025.11329759}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.