Publication

Optimal Representations of Sparse Stochastic Processes with Applications in Image Processing

Pedram Pad
2017
Theses

Abstract

We establish in the world of stochastic processes a theoretical relation between sparsity and wavelets. The underlying principle is to treat stochastic processes as generalized functions, which facilitates the study of their properties in a transform domain. We focus on symmetric- $\alpha$ -stable (S $\alpha$ S) processes, with $\alpha\in(0,2]$ . They are central to a recently proposed framework for sparse stochastic processes. The case $0

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Pedram Pad
2017
Theses

Abstract

Official source

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