In this paper, we study the problem of interrupted synthetic aperture radar (SAR) imaging
and coherent change detection (CCD) in the setting of gapped collections with missing …

Similar to conventional compression with the original, unencrypted image as the input, the
recently emerged compression on encrypted images generally exploits statistical correlation …

Although there exist many researches on the compression of original non-encrypted binary
images, few approaches focus on the compression of encrypted binary images. As binary …

In distributed source coding, ambiguity is usually introduced in the encoding process as it
allows multiple plaintext sequences encoded to the same codeword. All these plaintext …

There has been considerable interest in distributed source coding within the compression
and sensor network research communities in recent years, primarily due to its potential …

This paper presents a novel synthetic aperture radar (SAR) imaging and autofocus algorithm
by exploiting the clustering property of the sparse scene in structured phase-noisy …

There has been considerable interest in distributed source coding (DSC) in recent years,
primarily due to its potential contributions to low-power sensor networks. However, two …

Motivated by potential applications in wireless sensor networks, we consider the problem of
communicating a large number of correlated analog sources over a Gaussian multiple …

In this paper, we propose an efficient joint imaging and coherent change detection (CCD)
algorithm to cope with the issue of interrupted synthetic aperture radar (SAR) environments …

In this two part paper, we present a new approach to bit rate efficient communication in
sensor networks. With the use of a new module called the 'bit-subset selector', the tradeoffs …