Abstract | ||
---|---|---|
This paper proposes an iterative algorithm to reconstruct missing samples from non-stationary signals. The proposed algorithm is based on the well-known amplitude-modulation frequency-modulation model for non-stationary signals. The method initially estimates the instantaneous frequencies of the observed multi-component signal. The estimated IFs are then used to de-chirp the corresponding components to convert them into stationary components. Following this, a relatively recent nonparametric iterative missing data recovery procedure is employed to reconstruct the time-varying amplitudes of the signal components. The complete signal is constructed by adding all the estimated components, which is used as an input signal to re-estimate the IFs and time-varying amplitudes in an iterative procedure. Studies based on simulated and real data sets show that the proposed approach provides better estimates as compared to the state of the art. |
Year | DOI | Venue |
---|---|---|
2022 | 10.1007/s11760-021-02128-5 | Signal, Image and Video Processing |
Keywords | DocType | Volume |
Amplitude-modulation frequency modulation (AM-FM), Non-stationary signals, Instantaneous frequency, Time–frequency, Missing data | Journal | 16 |
Issue | ISSN | Citations |
7 | 1863-1703 | 0 |
PageRank | References | Authors |
0.34 | 18 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Khan, Nabeel Ali | 1 | 0 | 0.34 |
Butt, Naveed R. | 2 | 0 | 0.34 |
Andreas Jakobsson | 3 | 409 | 43.32 |