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Methods to reduce perturbation effects in compressive sampling

Chae, Daniel H


With compressive sampling (CS), few measurements or samples will be enough for signal reconstruction as long as the signal can be represented in a basis domain and the coefficients are sparse. Fortunately, many signals in nature can be expressed with sparse bases. However, there arise the CS problems of perturbations which can be broadly classified into additive and multiplicative. The additive perturbation such as additive white Gaussian noise (AWGN) inevitably incurs recovery noise in...[Show more]

CollectionsOpen Access Theses
Date published: 2014-03-14
Type: Thesis (PhD)


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