What is the significance of restricted isometric property rip?
In linear algebra, the restricted isometry property (RIP) characterizes matrices which are nearly orthonormal, at least when operating on sparse vectors. The concept was introduced by Emmanuel Candès and Terence Tao and is used to prove many theorems in the field of compressed sensing.
What is ripping Matrix?
RIP matrices– shorthand for matrices which satisfy the restricted isometry property– appeared as a byproduct of Compressed Sensing; a method discovered by D. Donoho, E. Cand`es and T. Tao in 2004 with several applications in computer science.