Reduced precision redundancy for low-power digital filtering

Byonghyo Shim, Naresh R. Shanbhag

Research output: Contribution to journalConference articlepeer-review

24 Citations (Scopus)


In this paper, we propose a low-power digital filtering technique based on voltage overscaling (VOS) and a novel algorithmic noise-tolerant (ANT) technique referred to as reduced precision redundancy (RPR). VOS implies scaling of the supply voltage beyond the critical voltage required for correct operation. RPR involves having a reduced precision replica whose output can be employed as the final output in case the original filter computes erroneously. In addition, an LSB estimator is also employed to compensate for information loss in the LSBs. For frequency selective filtering, it is shown that the proposed technique provides a 30% energy savings over an optimally scaled (i.e., the supply voltage equals the critical voltage) present day system. Energy savings of up to 65% can be achieved if a SNR loss of 1.5 dB is tolerated.

Original languageEnglish
Pages (from-to)148-152
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Publication statusPublished - 2001
Event35th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: 2001 Nov 42001 Nov 7

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications


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