Robust and energy efficient multimedia systems via likelihood processing

Rami A. Abdallah, Naresh R. Shanbhag

Research output: Contribution to journalArticlepeer-review


This paper presents likelihood processing (LP) for designing robust and energy-efficient multimedia systems in the presence of nanoscale non-idealities. LP exploits error statistics of the underlying hardware to compute the probability of a particular bit being a one or a zero. Multiple output observations are generated via either: 1) modular redundancy (MR), 2) estimation, or 3) exploiting spatio-temporal correlation. Energy efficiency and robustness of a 2D discrete-cosine transform (DCT) image codec employing LP is studied. Simulations in a commercial 45-nm CMOS process show that LP can tolerate up to 100 × , and 5 × greater component error probability as compared to conventional and triple-MR (TMR)-based systems, respectively, while achieving a peak-signal-to-noise ratio (PSNR) of 30 dB at a pre-correction error rate of 20%. Furthermore, LP is able to achieve energy savings of 71% over TMR at a PSNR of 28 dB, while tolerating a pre-correction error rate of 4%.

Original languageEnglish (US)
Article number6374261
Pages (from-to)257-267
Number of pages11
JournalIEEE Transactions on Multimedia
Issue number2
StatePublished - 2013


  • Error resiliency
  • Low-power design
  • Media processing
  • Robust design
  • Stochastic computation
  • Voltage overscaling

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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