Estimation of FM signal parameters in impulse noise environments
Signal Processing
Robust sparse component analysis based on a generalized Hough transform
EURASIP Journal on Applied Signal Processing
Matched representations and filters for guided waves
IEEE Transactions on Signal Processing
Techniques to obtain good resolution and concentrated time-frequency distributions: a review
EURASIP Journal on Advances in Signal Processing
Adaptive algorithm for chirp-rate estimation
EURASIP Journal on Advances in Signal Processing
Short-time fractional fourier transform and its applications
IEEE Transactions on Signal Processing
EURASIP Journal on Audio, Speech, and Music Processing
LFM signal detection using LPP-Hough transform
Signal Processing
Performance analysis on Lv distribution and its applications
Digital Signal Processing
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The aim of the paper is the performance evaluation of a method for the analysis of mono- or multicomponent linear-frequency modulation (LFM) signals, based on the Hough transform of the Wigner-Ville distribution of the signals. A closed form expression is found for the signal-to-noise ratio and the parameter estimation accuracy. The overall method, as any nonlinear method, exhibits a threshold effect. Nevertheless, it is shown to be asymptotically efficient and offers a good rejection capability of the cross terms