Low-power MIMO signal processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on the 2001 international conference on computer design (ICCD)
Reliable low-power digital signal processing via reduced precision redundancy
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Energy-efficient soft error-tolerant digital signal processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Energy-efficient motion estimation using error-tolerance
Proceedings of the 2006 international symposium on Low power electronics and design
On the selection of arithmetic unit structure in voltage overscaled soft digital signal processing
ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
CASES '08 Proceedings of the 2008 international conference on Compilers, architectures and synthesis for embedded systems
Error-resilient motion estimation architecture
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Error-resilient low-power Viterbi decoder architectures
IEEE Transactions on Signal Processing
Computation error analysis in digital signal processing systems with overscaled supply voltage
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Proceedings of the 47th Design Automation Conference
Low-power multimedia system design by aggressive voltage scaling
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Error-resilient low-power DSP via path-delay shaping
Proceedings of the 48th Design Automation Conference
Modeling and synthesis of quality-energy optimal approximate adders
Proceedings of the International Conference on Computer-Aided Design
A survey of cross-layer power-reliability tradeoffs in multi and many core systems-on-chip
Microprocessors & Microsystems
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A low-power technique for digital filtering referred to as adaptive error-cancellation (AEC) is presented in this paper. The AEC technique falls under the general class of algorithmic noise-tolerance (ANT) techniques proposed earlier for combating transient/soft errors. The proposed AEC technique exploits the correlation between the input and soft errors to estimate and cancel out the latter. In this paper, we apply AEC along with voltage overscaling (VOS), where the voltage is scaled beyond the minimum (referred to as Vdd-crit) necessary for correct operation. We employ the AEC technique in the context of a frequency-division multiplexed (FDM) communication system and demonstrate that up to 71% energy reduction can be achieved over present-day voltage-scaled systems.