  This work proposes a research problem of finding sparse solution of
undetermined Linear system with some applications. Two approaches how to solve
the compressive sensing problem: using l_1 approach , the l_q approach with 0 <
q < 1. Compressive sensing algorithms are designed to cope with ambiguities
introduced by undersampling. We propose an algorithm for restricted Isometry
and how it can be used to constrain the undetermined linear system to
eventually get a unique solution.
