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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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Journal ArticleDOI

Design and study of system on chip design for signal processing applications in terms of energy and area

TL;DR: In this paper, the authors quantify the cost of providing flexibility in terms of energy consumption and silicon area and find that the critical architectural parameters are the amount of flexibility, the granularity of the architecture in providing this flexibility and the number of parallelism.
Dissertation

Removing Redundancies of Fast Fourier Transform Computations

Yingjie Lao
TL;DR: This paper aims to demonstrate the power of data analytics in the rapidly changing environment to provide real-time information about the physical environment and provide insights into the design and engineering of smart devices.
Proceedings ArticleDOI

Low-Power High-Speed Radix-2 DIT FFT Suitable for AAC/DRA Audio Decoding

TL;DR: An implementation of low-power, high-speed radix-2 DIT (Decimation-in-time) FFT suitable for AAC/DRA audio decoding is presented, and two methods are adopted: adding cache to ROM (ROM-cache) and proposing a new butterfly (AI-Butterfly).
Dissertation

A comparison of FFT processor designs

S. Dirlik
TL;DR: Four new ASIC designs are compared to the existing one, in search of a better solution, and an approach that uses the minimal amount of memory (SDF), and one that uses more memory for faster calculation (MDC) are implemented for both radix-2 andRadix-4 designs.
Proceedings ArticleDOI

Novel Architecture of Pipeline Radix 2 power of 2 SDF FFT Based on Digit-Slicing Technique

TL;DR: In this article, the authors proposed an optimal constant multiplication arithmetic design to multiply a fixed point input selectively by one of the several present twiddle factor constants, which can be found as significant improvement over Radix 22 DIF SDF FFT processor and can enable in solving problems that affect the most high-speed wireless communication systems capability in FFT and possesses huge potentials for future related works and research areas.
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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Theory and application of digital signal processing

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.