Energy-efficient soft error-tolerant digital signal processing

Byonghyo Shim, Naresh R. Shanbhag

Research output: Contribution to journalArticlepeer-review

94 Citations (Scopus)


In this paper, we present energy-efficient soft error-tolerant techniques for digital signal processing (DSP) systems. The proposed technique, referred to as algorithmic soft error-tolerance (ASET), employs low-complexity estimators of a main DSP block to achieve reliable operation in the presence of soft errors. Three distinct ASET techniques-spatial, temporal and spatio-temporal-are presented. For frequency selective finite-impulse response (FIR) filtering, it is shown that the proposed techniques provide robustness in the presence of soft error rates of up to P er = 10 -2 and P er = 10 -3 in a single-event upset scenario. The power dissipation of the proposed techniques ranges from 1.1 X to 1.7 X (spatial ASET) and 1.05 X to 1.17 X (spatio-temporal and temporal ASET) when the desired signal-to-noise ratio SNR des = 25 dB. In comparison, the power dissipation of the commonly employed triple modular redundancy technique is 2.9 X.

Original languageEnglish
Article number1637464
Pages (from-to)336-348
Number of pages13
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Issue number4
Publication statusPublished - 2006 Apr

Bibliographical note

Funding Information:
Manuscript received January 17, 2005; revised September 28, 2005. This work was supported in part by the Microelectronics Advanced Research Corporation (MARCO) sponsored by the Gigascale System Research Center and in part by the National Science Foundation under Grant CCR 99-79381 and Grant CCR 00-85929.


  • Digital signal processing (DSP)
  • Low-power
  • Reduced precision redundancy (RPR)
  • Reliability
  • Soft error tolerance
  • Triple modular redundancy (TMR)

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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