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Journal ArticleDOI

A low-power, high-performance, 1024-point FFT processor

Bevan M. Baas
- 01 Mar 1999 - 
- Vol. 34, Iss: 3, pp 380-387
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TLDR
This paper presents an energy-efficient, single-chip, 1024-point fast Fourier transform (FFT) processor, which has been fabricated in a standard 0.7 /spl mu/m CMOS process and is fully functional on first-pass silicon.
Abstract
This paper presents an energy-efficient, single-chip, 1024-point fast Fourier transform (FFT) processor. The 460000-transistor design has been fabricated in a standard 0.7 /spl mu/m (L/sub poly/=0.6 /spl mu/m) CMOS process and is fully functional on first-pass silicon. At a supply voltage of 1.1 V, it calculates a 1024-point complex FFT in 330 /spl mu/s while consuming 9.5 mW, resulting in an adjusted energy efficiency more than 16 times greater than the previously most efficient known FFT processor. At 3.3 V, it operates at 173 MHz-which is a clock rate 2.6 times greater than the previously fastest rate.

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Citations
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Proceedings ArticleDOI

Energy-optimized high performance FFT processor

TL;DR: An ultra low energy FFT processor suitable for sensor applications that achieves 9.25x higher energy efficiency than state-of-the-art FFT processors and high throughput relative to past subthreshold circuit implementations is proposed.
Proceedings ArticleDOI

High-Throughput 64K-point FFT Processor for THz Imaging Radar System

TL;DR: This paper implements a 4-parallel 64K-point FFT hardware architecture based on 2-epoch FFT algorithm and reduces a large number of storages for twiddle factor coefficients, so that the area of ROM can be reduced.
Proceedings ArticleDOI

Transport Triggered Architecture Processor for Mixed-Radix FFT

TL;DR: The paper describes an FFT implementation supporting power-of-two FFTs with the aid of mixed- radix algorithm based on radix-4 andRadix-2 computations, which is programmable but shows energy-efficiency comparable to fixed-function ASIC implementations.
Journal ArticleDOI

Instruction scheduling heuristic for an efficient FFT in VLIW processors with balanced resource usage

TL;DR: This paper describes a new FFT implementation on high-end very long instruction word (VLIW) digital signal processors (DSP), which presents improved performance in terms of clock cycles due to the resulting low-level resource balance and to the reduced memory accesses of twiddle factors.
Proceedings ArticleDOI

Pixel-and-column pipeline architecture for FFT-based image processor

TL;DR: In this article, a pixel-and-column pipeline architecture is proposed for phase correlation and Fourier-Mellin transform based image-processing algorithms, and an LSI that provides those algorithms at the real-time response is designed based on the architecture.
References
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Book

Computer Architecture: A Quantitative Approach

TL;DR: This best-selling title, considered for over a decade to be essential reading for every serious student and practitioner of computer design, has been updated throughout to address the most important trends facing computer designers today.
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Discrete-Time Signal Processing

TL;DR: In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.
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TL;DR: Feyman and Wing as discussed by the authors introduced the simplicity of the invariant imbedding method to tackle various problems of interest to engineers, physicists, applied mathematicians, and numerical analysts.
Journal ArticleDOI

Low-power CMOS digital design

TL;DR: In this paper, techniques for low power operation are presented which use the lowest possible supply voltage coupled with architectural, logic style, circuit, and technology optimizations to reduce power consumption in CMOS digital circuits while maintaining computational throughput.
Journal Article

Low-Power CMOS Digital Design

TL;DR: An architecturally based scaling strategy is presented which indicates that the optimum voltage is much lower than that determined by other scaling considerations, and is achieved by trading increased silicon area for reduced power consumption.