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L. Canal, “A normal approximation for the chi-square distribu-tion,” Computational Statistics & Data Analysis, Vol. 48, No. 4, pp. 803–808, April 2005.

has been cited by the following article:

• TITLE: On the Implementation of a Probabilistic Equalizer for Low-Cost Impulse Radio UWB in High Data Rate

  AUTHORS: Sami MEKKI, Jean-Luc DANGER, Benoit MISCOPEIN

  KEYWORDS: Impulse Radio Ultra-Wideband, Probabilistic Energy Equalizer, Inter-Symbol Interference, Chi-Squared

  JOURNAL NAME: Wireless Sensor Network, Vol.1 No.4, November 20, 2009

  ABSTRACT: This paper treats the digital design of a probabilistic energy equalizer for impulse radio (IR) UWB receiver in high data rate (100Mbps). The aim of this study is to bypass certain complex mathematical function as a chi-squared distribution and reduce the computational complexity of the equalizer for a low cost hardware implementation. As in Sub-MAP algorithm, the max* operation is investigated for complexity reduction and tested by computer simulation with fixed point data types under 802.15.3a channel models. The obtained re-sults prove that the complexity reduction involves a very slight algorithm deterioration and still meet the low-cost constraint of the implementation.