Abstract
This paper presents a low-power digital filtering technique derived via algorithmic noise-tolerance (ANT). The proposed technique achieves substantial energy savings via voltage overscaling (VOS), where the supply voltage is scaled beyond the minimum (referred to as Vdd-crit) necessary for correct operation. The resulting performance degradation is compensated for via an adaptive error-cancellation (AEC) algorithm. In particular, we employ an energy optimum AEC to optimize the energy-performance trade-off and reduce the overhead due to ANT. It is shown that the proposed AEC technique is well-suited for designing lowpower broadband signal processing and communication systems. Up to 71% energy savings over optimally voltage-scaled conventional systems can be obtained in the context of frequency-division multiplexed (FDM) communications without incurring any performance loss.
Original language | English (US) |
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Pages (from-to) | 1702-1706 |
Number of pages | 5 |
Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
Volume | 2 |
State | Published - 2000 |
Event | 34th Asilomar Conference - Pacific Grove, CA, United States Duration: Oct 29 2000 → Nov 1 2000 |
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications