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- W2895869821 abstract "Efficient computation of real-valued fast Fourier transform (RFFT) has received significant attention in recent years due to its several applications in conventional digital signal processing and other emerging areas. In-place RFFT architectures are gaining popularity due to their lower hardware complexity compared with pipeline architectures. But the scaling of in-place RFFT architecture for higher lengths and higher throughput is a challenging issue due to increasing memory access conflict and higher memory bandwidth requirement. In this paper, a design approach is presented to develop an area-delay and energy-efficient architecture for in-place RFFT. Generally, an in-place fast Fourier transform (FFT) structure consists of a butterfly block which performs a set of butterfly operations in every clock cycle. From complexity analysis we find that in-place FFT structures with larger butterfly blocks are more efficient in terms of area-time complexity and energy consumption. The resolution of memory access conflict is however more challenging for higher butterfly block sizes. Therefore, we have analyzed the data-flow and memory footprint of in-place RFFT architectures for different throughput requirements, and based on that, we have proposed here a strategy to partition the storage unit into several banks of smaller sizes (without increasing the overall memory size) to resolve the memory access conflicts by concurrent data-swapping between the banks. Synthesis result shows that the proposed structure with butterfly block of size 4 and 8 involves (~44% and ~57%) less area-delay product and (~54% and ~57%) less energy per sample than those of existing similar structure on average for different FFT lengths, respectively." @default.
- W2895869821 created "2018-10-26" @default.
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- W2895869821 date "2019-03-01" @default.
- W2895869821 modified "2023-10-18" @default.
- W2895869821 title "Area–Delay–Energy Efficient VLSI Architecture for Scalable In-Place Computation of FFT on Real Data" @default.
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- W2895869821 doi "https://doi.org/10.1109/tcsi.2018.2873720" @default.
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