Abstract

High performance VLSI-based FFT architectures are key to signal processing and telecommunication systems since they meet the hard real-time constraints at low silicon area and low power compared to CPU-based solutions. In order to meet these goals, this paper presents a novel VLSI FFT architecture based on combining three consecutive radix-4 stages to result in a 64-point FFT engine. Cascading these 64-point FFT engines consequences an improved architecture design featuring certain characteristics. First, it can efficiently accommodate large input data sets in real time. It also simplifies processing requirements due to the radix-4 calculations. Finally, it reduces memory requirements and latency to one third compared to the fully unfolded radix-4 architecture. Two different implementations are utilized in order to validate the architecture efficiency: a FPGA implementation of a 4096-point FFT achieving a throughput of 4096 point/20.48 usec, and a VLSI implementation sustaining a throughput of 4096 point/3.89 usec.

Keywords:
Very-large-scale integration Fast Fourier transform Computer science Field-programmable gate array Throughput Signal processing Digital signal processing Embedded system Parallel computing Latency (audio) Computer architecture Computer hardware Algorithm

Metrics

8
Cited By
0.64
FWCI (Field Weighted Citation Impact)
22
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
Numerical Methods and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Model Reduction and Neural Networks
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics

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