Osama Alkhouli

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In this paper, we derive a " convolution theorem " suitable for the Hirschman optimal transform (HOT), a unitary transform derived from a discrete-time, discrete-frequency version of the entropy-based uncertainty measure first described by Hirschman [10]. We use the result to develop a fast block-LMS adaptive filter which we call the HOT Block-LMS adaptive(More)
In this paper we propose a novel image restoration method that effectively combines a particle filter with wavelet shrinkage to achieve robust performance against inhomogeneous noise mixtures. Specifically, the particle filter acts to suppress outlier-rich components of the noise while, in a subsequent step, the wavelet domain shrinkage attenuates any(More)
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