Performance analysis of algorithmic noise-tolerance techniques

Byonghyo Shim; Naresh R. Shanbhag

Performance analysis of algorithmic noise-tolerance techniques

Byonghyo Shim, Naresh R. Shanbhag

Research output: Contribution to journal › Conference article › peer-review

Abstract

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 (P_er) 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 P_er = 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 P_er = 10^-2.

Original language	English
Pages (from-to)	IV113-IV116
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	4
Publication status	Published - 2003
Event	Proceedings of the 2003 IEEE International Symposium on Circuits and Systems - Bangkok, Thailand Duration: 2003 May 25 → 2003 May 28

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Performance analysis of algorithmic noise-tolerance techniques",

abstract = "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.",

author = "Byonghyo Shim and Shanbhag, {Naresh R.}",

year = "2003",

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journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

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note = "Proceedings of the 2003 IEEE International Symposium on Circuits and Systems ; Conference date: 25-05-2003 Through 28-05-2003",

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T1 - Performance analysis of algorithmic noise-tolerance techniques

AU - Shim, Byonghyo

AU - Shanbhag, Naresh R.

PY - 2003

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AB - 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.

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M3 - Conference article

AN - SCOPUS:17944389078

SN - 0271-4310

VL - 4

SP - IV113-IV116

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 2003 IEEE International Symposium on Circuits and Systems

Y2 - 25 May 2003 through 28 May 2003

ER -

Performance analysis of algorithmic noise-tolerance techniques

Abstract

ASJC Scopus subject areas

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