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Abstract—Causal processing of a signal’s samples is crucial in on-line applications such as audio rate conversion, compression, tracking and more. This paper addresses the problems of predict-ing future samples and causally interpolating deterministic sig-nals. We treat a rich variety of sampling

in partial ful2llment of the requirements for the degree of

1. Networking trends 2. QoS over data networks 3. Label switching 4. Gigabit, 10 Gb Ethernet, RPR 5. Storage area networks 6. IP over DWDM 7. Wireless 8. Voice over IP

of operations producing complex concepts from the primitive ones.

of control information, and a rate-control algorithm that op-erates at each hop along a flow. Using several real network topologies, we show that Flush closely tracks or exceeds the maximum goodput achievable by a hand-tuned but fixed rate for each hop over a wide range of path lengths and varying network

education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article pre-sents such a bioinformatics curric-ulum in the form of a virtual

EinepolicybasierteZugriffskontrollarchitektur fürdasMultiServiceInternet vomFachbereich18 derTechnischenUniversitätDarmstadt genehmigteDissertation zurErlangungdesGradeseines Doktor-Ingenieur(Dr.-Ing.) von DiplomWirtschaftsinformatikerChristophRensing geborenam4.7.1967inDüsseldorf

Abstract not found