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  • Title: Investigation of short-term changes in visual evoked potentials with windowed adaptive chirplet transform.
    Author: Cui J, Wong W.
    Journal: IEEE Trans Biomed Eng; 2008 Apr; 55(4):1449-54. PubMed ID: 18390338.
    Abstract:
    We propose a new application of the adaptive chirplet transform that involves partitioning signals into non-overlapping sequential segments. From these segments, the local time-frequency structures of the signal are estimated by using a four-parameter chirplet decomposition. Entitled the windowed adaptive chirplet transform (windowed ACT), this approach is applied to the analysis of visual evoked potentials (VEPs). It can provide a unified and compact representation of VEPs from the transient buildup to the steady-state portion with less computational cost than its non-windowed counterpart. This paper also details a method to select the optimal window length for signal segmentation. This approach will be useful for long-term signal monitoring as well as for signal feature extraction and data compression.
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