Fig. 6From: Statistically inferred time warping: extending the cyclostationarity paradigm from regular to irregular statistical cyclicity in scientific dataCase B: magnitude of the cyclic correlogram of the time-warped data (thick red) and of the data before warping (thin blue), as functions of α/fs and τ/Ts \( \left({f}_s=1/{T}_s\right) \). (Exact warping frequencies, \( SNR=-10 \) dB)Back to article page