Algorithmic modeling of TES processes for simulation analysis

Details Algorithmic modeling of TES processes for simulation analysis Algorithmic modeling of TES processes for simulation analysis

1997-09-15

1998-07-21

Treat, William M.

Boots, shoes, and leggings

364149, 364194, G05B 1304

Patent

active

057845964

ABSTRACT:
TES (Transform-Expand-Sample) is a versatile class of stationary stochastic processes which can model arbitrary marginals, a wide variety of autocorrelation functions, and a broad range of sample path behaviors. An algorithmic method replaces the previously relied upon heuristic search, thereby automating TES modeling for simulation analysis. The algorithm is solved in a nonlinear programming setting, which takes advantage of fast and accurate computation of TES autocorrelation functions and their partial derivatives to implement a steepest-descent technique, preferably based on Zoutendijk's Feasible Direction Method. The method has particular application to data compression and specifically compressed video.

REFERENCES:
patent: 4680784 (1987-07-01), Lehnert et al.
patent: 5088058 (1992-02-01), Salsburg
patent: 5214746 (1993-05-01), Fogel et al.
patent: 5257364 (1993-10-01), Melamed et al.
Jelenkovic and Melamed; Algorithmic Modeling of TES Processes; IEEE Transactions on Automatic Control, vol. 40, No. 7; pp. 1305-1312, Jul. 1995.
Jagerman et al.; Bidirectional Estimation and Confidence Regions for TES Processes; 1995; pp. 94-98 MASCOTS '95: Modeling, Analysis, and Simulation Int'l. Workship.
Daniel Geist et al, "TEStool: An Environment for Visual Interactive Modeling of Autocorrelated Traffic" in proceedings of the 1992 International Conference on Communications, vol. 3, pp. 1285 to 1289, 1992.
B. Melamed, "An Overview of TES Processes and Modeling Methodology" in Performance Evaluation of Computer and Communication Systems (L. Donatiello and R. Nelson, Eds.) pp. 359 to 393, Springer-Verlag Lecture Notes in Computer Sciences 1993.
D. J. Jagerman et al, "The Transition and Autocorrelation Structure of TES Processes Part II: Special Cases", in Stochastic Models, vol. 8(3), pp. 499 to 527, 1992.
D. L. Jagerman et al, "The Transition and Autocorrelation structure of TES Processes Part I; General Theory", in Stochastic Models vol. 8 (2) pp. 193 to 219 1992.

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