Weak RIP and Its Application to Compressed Sensing
Journal of Advances in Mathematics and Computer Science · pp. 674–684 · Published 3 Dec 2013
10.9734/BJMCS/2014/7298Abstract
The first purpose of this paper is to give a sufficient condition under which A obeys the weak RIP and to evaluate the solution of CS using this result. The second is to show that when an m x n random matrix A satisfies the isotropy property: for every row vector A{k} of A, always obeys the weak RIP with high probability and it is applicable to the CS theory.
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Cited by 4
Hiroshi Inoue · Journal of Advances in Mathematics and Computer Science · 2014
Hiroshi Inoue · Applied and Computational Harmonic Analysis · 2014
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