Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Analysis of polynomial-phase signals by the integrated generalizedambiguity function
IEEE Transactions on Signal Processing
Robust multiuser detection in non-Gaussian channels
IEEE Transactions on Signal Processing
Discrete chirp-Fourier transform and its application to chirp rateestimation
IEEE Transactions on Signal Processing
Robust L-estimation based forms of signal transforms and time-frequency representations
IEEE Transactions on Signal Processing
Robust Wigner distribution with application to the instantaneousfrequency estimation
IEEE Transactions on Signal Processing
A general weighted median filter structure admitting negativeweights
IEEE Transactions on Signal Processing
Product high-order ambiguity function for multicomponentpolynomial-phase signal modeling
IEEE Transactions on Signal Processing
A fast algorithm for estimating the parameters of a quadratic FM signal
IEEE Transactions on Signal Processing
Analysis of multicomponent LFM signals by a combined Wigner-Houghtransform
IEEE Transactions on Signal Processing
Relations between fractional operations and time-frequencydistributions, and their applications
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Kernel design for time-frequency signal analysis using the Radontransform
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Minimax description length for signal denoising and optimized representation
IEEE Transactions on Information Theory
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A simple algorithm based on discrete chirp Fourier transform (DCFT) is used for the chirp signal parameters estimation in impulse noise environments. A modification of the DCFT is introduced in order to produce accurate estimates in this case. This modification, called the robust DCFT, produces highly accurate results in impulse noise environments, while for the Gaussian noise it is only slightly worse than the standard one. Generalization to the parametric estimation of polynomial phase signals is given. It is based on the robust form of the integrated generalized ambiguity function (IGAF). We applied the IGAF-based procedure on the signal filtered by using the robust filter designed in the frequency domain.