A wealth of information about respiratory system is encoded in the airflow signal. While direct measurement via spirometer with an occlusive seal gold standard, this may not be practical for ambulatory monitoring patients. Advances sensor technology have made motion thorax and abdomen feasible small inexpensive devices, but estimating from these time series challenging due to presence complicat...

Location of non-stationary forced oscillation (FO) sources can be a challenging task, especially under resonance condition with natural system modes. In this case, the magnitudes oscillations could greater in places distant from source and spreads over large region power system. Detection, frequency identification filtering FO oscillatory components constitutes an initial critical step for appl...

The empirical mode decomposition (EMD) is a powerful tool for non-stationary signal analysis. It has been used successfully for sound and vibration signals separation and time-frequency representation. Linear time-frequency analysis (TFA) is another powerful tool for non-stationary signal. Linear TFAs, e.g. short-time Fourier transform (STFT) and wavelet transform (WT), depend linearly upon the...

EEG is widely used to record the electrical activity of the brain for detecting various kinds of diseases and disorders of the human brain. EEG signals are contaminated with several unwanted artifacts during EEG recording and these artifacts make the analysis of EEG signal difficult by hiding some valuable information. Time-frequency representation of electroencephalogram (EEG) signal provides ...

The structure is said to be damaged if there a permanent shift in the post-event natural frequency of as compared with pre-event frequency. To assess damage structure, time-frequency approach that can capture and required. In this study, determine these frequencies, local maximum synchrosqueezing transform (LMSST) method employed. Through simulation results, we have shown traditional methods su...