Reliable low-power digital signal processing via reduced precision redundancy

In this paper, we present a novel algorithmic noise-tolerance (ANT) technique referred to as reduced precision redundancy (RPR). RPR requires a reduced precision replica whose output can be employed as the corrected output in case the original system computes erroneously. When combined with voltage...

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Bibliographic Details
Published in:IEEE transactions on very large scale integration (VLSI) systems 2004-05, Vol.12 (5), p.497-510
Main Authors: Byonghyo Shim, Sridhara, S.R., Shanbhag, N.R.
Format: Article
Language:English
Subjects:
Applied sciences
Circuit properties
Design. Technologies. Operation analysis. Testing
Digital filters
Digital signal processing
Electric potential
Electric, optical and optoelectronic circuits
Electronic circuits
Electronics
Energy conservation
Exact sciences and technology
Fast Fourier transforms
Filtering
Frequency filters
Impulse response
Integrated circuits
Integrated circuits by function (including memories and processors)
Noise reduction
Quadrature phase shift keying
Redundancy
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
Signal processing algorithms
Signal to noise ratio
Testing, measurement, noise and reliability
Very large scale integration
Voltage
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Summary:In this paper, we present a novel algorithmic noise-tolerance (ANT) technique referred to as reduced precision redundancy (RPR). RPR requires a reduced precision replica whose output can be employed as the corrected output in case the original system computes erroneously. When combined with voltage overscaling (VOS), the resulting soft digital signal processing system achieves up to 60% and 44% energy savings with no loss in the signal-to-noise ratio (SNR) for receive filtering in a QPSK system and the butterfly of fast Fourier transform (FFT) in a WLAN OFDM system, respectively. These energy savings are with respect to optimally scaled (i.e., the supply voltage equals the critical voltage V/sub dd-crit/) present day systems. Further, we show that the RPR technique is able to maintain the output SNR for error rates of up to 0.09/sample and 0.06/sample in an finite impulse response filter and a FFT block, respectively.
ISSN:1063-8210
1557-9999
DOI:10.1109/TVLSI.2004.826201