This article extends the concept of compressed sensing to signals that are not sparse in an orthonormal basis but rather in a redundant dictionary. It is shown that a matrix, whic...
Holger Rauhut, Karin Schnass, Pierre Vandergheynst
This article presents novel results concerning the recovery of signals from undersampled data in the common situation where such signals are not sparse in an orthonormal basis or ...
In this paper, we report work on a family of variable-length codes with less redundancy than the de facto flat code used in most of the variable size dynamic dictionary based comp...
Dictionary compression mechanisms identify redundant sequences of instructions that occur in a program. The sequences are extracted and copied to a dictionary. Each sequence is th...
Philip Brisk, Jamie Macbeth, Ani Nahapetian, Majid...
Abstract. We consider the problem of representing, in a compressed format, a bitvector S of m bits with n 1s, supporting the following operations, where b ∈ {0, 1}:
Roberto Grossi, Alessio Orlandi, Rajeev Raman, S. ...