Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Robust techniques for wireless communications in non-gaussian environments
Robust techniques for wireless communications in non-gaussian environments
Weighted myriad filters: a robust filtering framework derived from alpha-stable distributions
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05
Statistically-efficient filtering in impulsive environments: weighted myriad filters
EURASIP Journal on Applied Signal Processing
Optimality of the myriad filter in practical impulsive-noiseenvironments
IEEE Transactions on Signal Processing
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Snapping shrimp are small marine animals that are typically found in coastal regions with coral reefs. These crustaceans live in droves and are the dominant source of high-frequency ambient noise in their habitat. The noise generated by the shrimp is impulsive and is detrimental to the performance of sonar and underwater communication systems. In this paper we use heavy-tailed symmetric α-stable (SαS) distributions to model snapping shrimp noise. In conventional digital communication systems, most processing is done at the baseband level. We investigate the characteristics of complex baseband noise derived from passband additive white symmetric α-stable noise (AWSαSN) using linear passband-to-baseband converters. The resulting baseband noise distributions, although symmetric, are generally anisotropic with dependent components. Further still, the geometric structure of the anisotropy may be controlled by varying certain system parameters. We exploit this structure to enhance error performance for the binary and quadrature phase shift keying (BPSK/QPSK) schemes by rotating constellations.