It is shown that the mean square error (MSE) performance of linear equalizers becomes sensitive to the decision delay when the input noise is colored, and by ...
Colored noise affects the performance of equalization algorithms which assume a white noise model. Even if algorithms, such as the least mean squares (LMS).
Performance of equalizers depends on the discrete time model of the input signal and noise. The use of higher sampling rate results in colored noise when the ...
The performance of equalizers depends on the discrete time model of the input signal and noise. The use of a higher sampling rate results in colored noise ...
It is shown that the mean square error (MSE) performance of linear equalizers becomes sensitive to the decision delay when the input noise is colored, ...
Mar 15, 1999 · It is shown that the mean square error (MSE) performance of linear equalizers becomes sensitive to the decision delay when the input noise is ...
Jun 12, 2018 · The simulation shows that the BER performance of colored noise is nearly 1.4 dB degraded as compared to the white noise.
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For those readers studying the effects of colored noise, the results of the treatment of white noise are easily modified to show the effects of colored noise.
Dec 31, 2022 · If your noise is colored, your MMSE estimate is worse than for white noise of the same variance. Hence, your assumption that in both cases the equalization is ...
This paper presents an uplink linear minimum mean-square error (L-MMSE) equalization method in the daisy chain decentralized baseband processing architecture ...