Subspace-based frequency estimation of sinusoidal signals in alpha-stable noise
Signal Processing - Signal processing with heavy-tailed models
Direction finding in non-Gaussian impulsive noise environments
Digital Signal Processing
Speckle suppression in SAR images using the 2-D GARCH model
IEEE Transactions on Image Processing
Wireless Personal Communications: An International Journal
Robust watermarking of H.264/SVC-encoded video: quality and resolution scalability
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
Mitigating Near-field Interference in Laptop Embedded Wireless Transceivers
Journal of Signal Processing Systems
Watermark detection for video bookmarking using mobile phone camera
CMS'10 Proceedings of the 11th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security
Impulsive noise cancelation with simplified Cauchy-based p-norm filter
Signal Processing
An efficient robust watermarking method integrated in H.264/SVC
Transactions on Data Hiding and Multimedia Security VII
Modulation Recognition of MFSK Signals Based on Multifractal Spectrum
Wireless Personal Communications: An International Journal
| Hi-index | 35.68 |
We address the problem of estimation of the parameters of the recently proposed symmetric, alpha-stable model for impulsive interference. We propose new estimators based on asymptotic extreme value theory, order statistics, and fractional lower order moments, which can be computed fast and are, therefore, suitable for the design of real-time signal processing algorithms. The performance of the new estimators is theoretically evaluated, verified via Monte Carlo simulation, and compared with the performance of maximum-likelihood estimators