Analysis of polynomial FM signals corrupted by heavy-tailed noise
Signal Processing
Estimation of FM signal parameters in impulse noise environments
Signal Processing
TR-MUSIC: a robust frequency estimation method in impulsive noise
Signal Processing
Efficient analysis of time-varying multicomponent signals with modified LPTFT
EURASIP Journal on Applied Signal Processing
International Journal of Computer Mathematics
A robust periodogram for high-resolution spectral analysis
Signal Processing
Reassignment methods for robust time-frequency representations
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
A nonlinear method for robust spectral analysis
IEEE Transactions on Signal Processing
An overview of the adaptive robust DFT
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Robust time-frequency distributions with complex-lag argument
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
LFM signal detection using LPP-Hough transform
Signal Processing
Fast communication: Robust M-periodogram with dichotomous search
Signal Processing
| Hi-index | 35.69 |
A maximum likelihood-type M-periodogram is developed for observations contaminated by impulse random errors having unknown heavy-tailed error distributions. The periodogram is defined as being a squared amplitude of a harmonic signal fitting the observations with, a nonquadratic residual loss function given by the Huber's (1981) minimax robust statistics