Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Least lp-norm impulsive noise cancellation with polynomial filters
Signal Processing
TR-MUSIC: a robust frequency estimation method in impulsive noise
Signal Processing
Lp-norm spectrum sensing for cognitive radio networks impaired by non-Gaussian noise
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
IEEE Transactions on Signal Processing
Joint TDOA and FDOA Estimation: A Conditional Bound and Its Use for Optimally Weighted Localization
IEEE Transactions on Signal Processing
Alpha-stable modeling of noise and robust time-delay estimation inthe presence of impulsive noise
IEEE Transactions on Multimedia
Combination of Recursive Least -Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise
IEEE Transactions on Signal Processing
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Estimating the time delay between two signals received at spatially separated sensors is an important topic in signal processing and has a variety of practical applications. Conventionally, time delay estimation (TDE) can be achieved in two steps. The coefficients of a finite impulse response filter used to model the subsample delay are first computed and then interpolated to produce the delay estimate. Despite its simplicity, the two-step method suffers from error accumulation, estimation bias, and is not robust to impulsive noise or outliers. To overcome these drawbacks, a family of robust algorithms for direct TDE is proposed using @?"p-norm minimization, with 1=