TY - GEN
T1 - General constructions of deterministic (S)RIP matrices for compressive sampling
AU - Mazumdar, Arya
AU - Barg, Alexander
PY - 2011
Y1 - 2011
N2 - Compressive sampling is a technique of recovering sparse N-dimensional signals from low-dimensional sketches, i.e., their linear images in ℝm, m ≪ N. The main question associated with this technique is construction of linear operators that allow faithful recovery of the signal from its sketch. The most frequently used sufficient condition for robust recovery is the near-isometry property of the operator when restricted to k-sparse signals. We study 1-matrices of dimensions m × N that satisfy the restricted isometry property of order k (k-RIP). As our main set of results, we describe a general method of constructing sampling matrices for which a statistical version of k-RIP holds. We also show that mN matrices with k-RIP and m = O(k2 logN) can be constructed with time complexity O(k 2N logN).
AB - Compressive sampling is a technique of recovering sparse N-dimensional signals from low-dimensional sketches, i.e., their linear images in ℝm, m ≪ N. The main question associated with this technique is construction of linear operators that allow faithful recovery of the signal from its sketch. The most frequently used sufficient condition for robust recovery is the near-isometry property of the operator when restricted to k-sparse signals. We study 1-matrices of dimensions m × N that satisfy the restricted isometry property of order k (k-RIP). As our main set of results, we describe a general method of constructing sampling matrices for which a statistical version of k-RIP holds. We also show that mN matrices with k-RIP and m = O(k2 logN) can be constructed with time complexity O(k 2N logN).
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U2 - 10.1109/ISIT.2011.6034217
DO - 10.1109/ISIT.2011.6034217
M3 - Conference contribution
AN - SCOPUS:80054816649
SN - 9781457705953
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 678
EP - 682
BT - 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011
T2 - 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011
Y2 - 31 July 2011 through 5 August 2011
ER -