Computer Science – Information Theory
Scientific paper
2009-09-14
Computer Science
Information Theory
This is a preprint version of research report, which may submit to some conference or journal
Scientific paper
This report mainly focused on the basic concepts and the recovery methods for the random sampling. The recovery methods involve the orthogonal matching pursuit algorithm and the gradient-based total variation strategy. In particular, a fast and efficient observation matrix filling technique was implemented by the classic Shannon interpolation and Poisson summation formulae. The numerical results for the trigonometric signal, the Gaussian-modulated sinusoidal pulse, and the square wave were demonstrated and discussed. The work may give some help for future work in theoretical study and practical implementation of the random sampling.
Sha Wei E. I.
Wang Xiao Z.
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