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This paper presents a practical architecture for joint source-channel coding of human visual model-based video transmission over a satellite channel. Perceptual distortion model just-noticeable-distortion (JND) is applied ...

In this paper we present an autocorrelation-based method for estimating the carrier frequency offset of an MPSK signal with random data modulation. Although autocorrelation-based techniques imply heavy usage of hardware ...

Many different reliable multicast protocols have been proposed and analyzed in the current literature. Since satellites are naturallya braodcast medium, multicast communications have the potential togreatly benefit from ...

In this paper, we consider the case of multiple ideal and persistent TCP flows (flows that are assumed to be performing idealized congestion avoidance) interacting with queue management algorithms that perform random ...

This paper presents a practical architecture for joint source-channel coding of human visual model-based video transmission over satellite channel. Perceptual distortion model just-noticeable-distortion (JND) is applied ...

In this paper we concentrate on MPSK carrier frequency estmation based on random data modulation. We present a fast, open-loop frequency estimation and tracking techinque, which combines a feedforward estimator stuctureand ...

The demand for Internet bandwidth has grown rapidly in the past few years. A new generation of broadband satellite constellations promises to provide high speed Internet connectivity to areas not served by optical fiber, ...

ATM networks provide end-to-end QoS guarantees to connectionsfor their lifetime, in the form of bounds on delays, errors andlosses. Performance management involves measurement of theseparameters accurately and taking control ...

In this paper we present a Distributed Intelligent Fault Management (DIFM) system for communication networks. The overall architecture of the proposed system is based on a distributed, cooperative, multi-agent paradigm, ...

Combined compression and classification problems are becoming increasinglyimportant in many applications with large amounts of sensory data andlarge sets of classes. These applications range from aided target recognition(ATR), ...