  Detrended fluctuation analysis (DFA) has been used widely to determine
possible long-range correlations in data obtained from diverse settings. In a
recent study [1], uncorrelated random spikes superimposed on the long-range
correlated noise (LR noise) were found to affect DFA scaling exponent
estimates. In this brief communication, singular-value decomposition (SVD)
filter is proposed to minimize the effect random spikes superimposed on LR
noise, thus facilitating reliable estimation of the scaling exponents. The
effectiveness of the proposed approach is demonstrated on random spikes sampled
from normal and uniform distributions.
