TY - GEN
T1 - Low-power adaptive FIR equalizer via soft error cancellation
AU - Choi, Jun Won
AU - Singer, Andrew C.
AU - Cho, Nam Ik
PY - 2006
Y1 - 2006
N2 - In this paper, we present an adaptive FIR equalizer which reduces power dissipation by employing a new algorithmic error correction technique. Building on the voltage overscaling (VOS) technique, we formulate the statistical estimation of timing errors that may be caused by VOS, called soft errors to detect and cancel them at a system level. We derive a minimum variance unbiased estimator, and develop an adaptive and power-optimized algorithm for an adaptive equalizer. Up to 30% power savings are demonstrated with negligible performance loss for an example, 16-tap minimum mean square error (MMSE) FIR equalizer.
AB - In this paper, we present an adaptive FIR equalizer which reduces power dissipation by employing a new algorithmic error correction technique. Building on the voltage overscaling (VOS) technique, we formulate the statistical estimation of timing errors that may be caused by VOS, called soft errors to detect and cancel them at a system level. We derive a minimum variance unbiased estimator, and develop an adaptive and power-optimized algorithm for an adaptive equalizer. Up to 30% power savings are demonstrated with negligible performance loss for an example, 16-tap minimum mean square error (MMSE) FIR equalizer.
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M3 - Conference contribution
AN - SCOPUS:33947701475
SN - 142440469X
SN - 9781424404698
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - IV433-IV436
BT - 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
T2 - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Y2 - 14 May 2006 through 19 May 2006
ER -