Performance analysis of algorithmic noise-tolerance techniques

Byonghyo Shim, Naresh R. Shanbhag

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


In this paper, we present performance analysis of algorithmic noise-tolerance (ANT) techniques. First, we analyze the predictor and RPR based ANT schemes. Next, we present a hybrid ANT scheme which is resilient to burst errors usually occurring in a high soft-error rate (Per) region. For a frequency selective FIR filtering, it is shown that simulation results match well with the analytic bounds while providing about 40 dB improvement in the mean square error over a conventional DSP system at a Per = 10-4. It is also shown that the proposed hybrid ANT scheme maintains its robustness in noise mitigation even in the high soft-error rate region of upto Per = 10-2.

Original languageEnglish
Pages (from-to)IV113-IV116
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 2003
EventProceedings of the 2003 IEEE International Symposium on Circuits and Systems - Bangkok, Thailand
Duration: 2003 May 252003 May 28

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Performance analysis of algorithmic noise-tolerance techniques'. Together they form a unique fingerprint.

Cite this