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 ...
The problem of storing a set of strings – a string dictionary – in compact form appears naturally in many cases. While classically it has represented a small part of the whole ...
Abstract. We propose measures for compressed data structures, in which space usage is measured in a data-aware manner. In particular, we consider the fundamental dictionary problem...
We present a new color image compression algorithm for RGB images. In our previous work [6], we presented a machine learning technique to derive a dictionary of orthonormal basis ...
In this paper we introduce StarZip, a multi-corpora lossless text compression utility which incorporates StarNT, our newly proposed transform algorithm. StarNT is a dictionary-base...