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 ...
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...
Abstract— This paper considers compression in packet networks. Since data packets may be dropped or arrive reordered, streaming compression algorithms result in a considerable de...
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...