An Efficient Forecasting Approach to Reduce Boundary Effects in Real-Time Time-Frequency Analysis
نویسندگان
چکیده
Time-frequency (TF) representations of time series are intrinsically subject to the boundary effects. As a result, structures signals that highlighted by garbled when approaching boundaries TF domain. In this paper, for purpose real-time information acquisition nonstationary oscillatory series, we propose numerically efficient approach reduction such The solution relies on an extension analyzed signal obtained forecasting technique. case study class locally oscillating signals, provide theoretical guarantee performance our approach. Following numerical verification algorithmic approach, validate it implementing biomedical signals.
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2021
ISSN: ['1053-587X', '1941-0476']
DOI: https://doi.org/10.1109/tsp.2021.3062181