EURASIP Journal on Advances in Signal Processing

Table 3 The evaluation of the mean value and variance of NEE, for different outlier intensity, \( {\sigma}_e^2=\operatorname{var}A(k) \), where the nominal value is \( {\sigma}_0^2={10}^4/12 \)

From: Robust adaptive filtering using recursive weighted least squares with combined scale and variable forgetting factors

\( {\sigma}_e^2 \)	\( {10}^{-2}{\sigma}_0^2 \)	\( {10}^{-1}{\sigma}_0^2 \)	\( {\sigma}_0^2 \)	\( 10{\sigma}_0^2 \)	\( {10}^2{\sigma}_0^2 \)
NEE	\( {10}^{-2}{\sigma}_0^2 \)	\( {10}^{-1}{\sigma}_0^2 \)	\( {\sigma}_0^2 \)	\( 10{\sigma}_0^2 \)	\( {10}^2{\sigma}_0^2 \)
mean value	−30.8406	−30.3820	−30.4177	−30.4417	−30.3870
variance	94.2645	92.8128	94.9259	95.1020	94.6418

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