Preprints & Technical Reports

[PR38] M. Pollak, A.G. Tartakovsky, "Asymptotic Exponentialy of the Distribution of First Exit Times for a Class of Markov Processes with applications to quickest change detection", Contract #PR-CAMS-09-06-1, Center for Applied Mathematical Sciences, University of Southern California, September 2006.
[PR37] A.G. Tartakovsky, “Scalable Intrusion Detection System for Rapid Global Detection of Network Attacks.” SBIR Phase I Final Report # DOE-ER84136-1, Contract # DE-FG02-05ER84136, Department of Energy, ADSANTEC, March 2006.
[PR36] A.G. Tartakovsky, “Robust Adaptive Spatial-Temporal Algorithms for Clutter Rejection and Scene Stabilization.” SBIR Phase II Final Report # MDA-08.2006-FTR-Y2 (AFRL # AFRL-VS-HA-TR-2004-1044), Contract # FA8718-04-C-0059, Missile Defense Agency – Air Force Research Laboratory (MDA-AFRL), ADSANTEC, August 2006. Alexander Tartakovsky.
[PR35] A.G. Tartakovsky, “Image Stabilization and Extended Target Tracking.” Final Technical Report, Torrey Pines Logic, Inc., Contract # 0104-2005, Center for Applied Mathematical Sciences, University of Southern California,November 2006.
[PR34] A.G. Tartakovsky, “Efficient Algorithms for Image Stabilization and Target Tracking.” Technical Report, Torrey Pines Logic, Inc., Contract # 0104-2005, Center for Applied Mathematical Sciences, University of Southern California, June 2005.
[PR33] A.G. Tartakovsky and L. Volfson, “Efficient Algorithms for Glint Reduction and Target Tracking in Shipboard IRST.” SBIR Phase I Final Report, Contract # N00024-05-C-4117, The U.S. Navy, Torrey Pines Logic, June 2005.
[PR32] A.G. Tartakovsky, “An Efficient Distributed Scalable Intrusion Detection System for Rapid Detection of Insider Attacks.” SBIR Phase II Final Report # ARL-CR-734, Contract # W911QX-04-C-0001, The U.S. Army Research Laboratory, ADSANTEC, December 2005.
[PR31] A.G. Tartakovsky, “Robust Adaptive Spatial-Temporal Algorithms for Clutter Rejection and Scene Stabilization.” SBIR Phase I Final Report # MDA-01.2004.F (AFRL # AFRL-VS-HA-TR-2004-1044), Contract # F19628-03-C-0102, Missile Defense Agency – Airforce Research Laboratory (MDA-AFRL), ADSANTEC, January 2004.
[PR30] A.G. Tartakovsky, “An Efficient Distributed Scalable Intrusion Detection System for Rapid Detection of Insider Attacks.” SBIR Phase I Final Report # ADSANTEC12.2003.F, Contract # DAAD17-03-C0054, The U.S. Army Research Laboratory, ADSANTEC, December 2003.
[PR29] B. Rozovskii and A. Tartakovsky, “Bayesian Sensor Networks and Optimal Fusion Techniques in Multi-Sensor Distributed Systems with Applications to Counter Terrorism and Information Assurance.” Progress and Technical Report # IPR-CAMS-1-06, The U.S. Office of Naval Research GRANT # N00014-06-1-0110, Center for Applied Mathematical Sciences, University of Southern California, September 2006.
[PR28] B. Rozovskii and A. Tartakovsky, “Advanced Statistical Methods for Information Assurance and Defense Against Cyber-Terrorism.” Final Technical Report # FTR-CAMS-2-05, The U.S. Office of Naval Research GRANT # N-00014-03-1-0027, Center for Applied Mathematical Sciences, University of Southern California, September 2005.
[PR27] B. Rozovskii and A. Tartakovsky, “Spatial-Temporal Restoration and Scene Stabilization Algorithms for High Resolution Target Recognition.” Final Technical Report # FTR-CAMS-3-05, The U.S. Office of Naval Research GRANT # N00014-03-1-0823, Center for Applied Mathematical Sciences, University of Southern California, September 2005.
[PR26] B. Rozovskii and A. Tartakovsky, “Numerical Methods and Statistical Inference for Complex Stochastic Systems.” Technical Report, The U.S. Army Research Office GRANT # DAAD19-02-1-0374, Center for Applied Mathematical Sciences, University of Southern California, September 2003.
[PR25] B. Rozovskii and A. Tartakovsky, “Spatial-Temporal Restoration and Scene Stabilization Algorithms for High Resolution Target Recognition.” Technical Report, The U.S. Office of Naval Research GRANT # N00014-03-1-0823, Center for Applied Mathematical Sciences, University of Southern California, December 2003.
[PR24] B. Rozovsky, A. Tartakovsky, H. Kim, R. Blazek, S. Vedantam, “Rapid Detection of DoS Attacks Using Advanced Change-Point Detection Algorithms.” Final Report on the DARPA GRANT # N66001-00-C-8044, Center for Applied Mathematical Sciences, University of Southern California, December 2003. Alexander Tartakovsky 13
[PR23] B. Rozovskii and A. Tartakovsky, “Adaptive Algorithms for Clutter Rejection and Track Before Detect in IRST Systems.” Final Technical Report # FCAMS02.12.1, The U.S. Office of Naval Research GRANT # N00014-99-1-0068, Center for Applied Mathematical Sciences, University of Southern California, December 2002.
[PR22] B. Rozovskii and A. Tartakovsky, “Nonlinear Filtering and Target Tracking.” Final Technical Report, The U.S. Office of Naval Research GRANT # N-00014-95-1-0229, Center for Applied Mathematical Sciences, University of Southern California, September 2002.
[PR21] B. Rozovskii and A. Tartakovsky, “Nonlinear Filtering: Stochastic Analysis and Numerical Methods.” Final Technical Report, The U.S. Army Research Office GRANT # DAAG55-98-1-0418, Center for Applied Mathematical Sciences, University of Southern California, September 2001.
[PR20] B. Rozovskii and A. Tartakovsky, “Nonlinear Filtering: Stochastic Analysis and Numerical Methods.” Technical Report, The U.S. Army Research Office GRANT # DAAG55-98-1-0418, Center for Applied Mathematical Sciences, University of Southern California, October 1999.
[PR19] A.G. Tartakovsky, “Extended Asymptotic Optimality of Certain Change-Point Detection Procedures.” Preprint CAMS-98.12.4, Center for Applied Mathematical Sciences, University of Southern California, 1998.
[PR18] V. Dragalin, A.G. Tartakovsky, and V. Veeravalli, “Multihypothesis Sequential Probability Ratio Tests: Asymptotic Optimality and Accurate Asymptotic Expansions for the Expected Sample Size.” Preprint CAMS-98.11.3, Center for Applied Mathematical Sciences, University of Southern California, 1998.
[PR17] S. Kligys, B. Rozovsky, and A.G. Tartakovsky, “Detection Algorithms and Track Before Detect Architecture Based on Nonlinear Filtering for Infrared Search and Track Systems.” Technical Report CAMS-98.9.1, Center for Applied Mathematical Sciences, University of Southern California, 1998.
[PR16] C. Rao, B. Rozovsky, and A.G. Tartakovsky, “Domain Pursuit Method for Tracking Ballistic Targets.” Technical Report CAMS-98.9.2, Center for Applied Mathematical Sciences, University of Southern California, 1998.
[PR15] A.G. Tartakovsky, “Voice Data Segmentation and Speaker Recognition Based on Stochastically Deformable Wavelet Descriptor and Extended Hidden Markov Models.” Final Technical Report on the NSA Idea Project, Aegir Systems and Filimage, Inc., 1996.
[PR14] A.G. Tartakovsky, “Minimax-Invariant Regret Solution to the N-sample Slippage Problem.” Preprint CAMS#95-5, Center for Applied Mathematical Sciences, University of Southern California, 1995.
[PR13] A.G. Tartakovsky, “Double Descrambling and Concatenated Coding Techniques for Optimal Receiver Design.” Final Report on the SBIR DoD Project, Physical Optics Corporation, 1995.
[PR12] A.G. Tartakovsky, “On the Minimax Approach to Overcoming Prior Uncertainty and Application to Pattern Recognition Problems.” Technical Report, Department of Mathematics, University of California at Los Angeles, 1994.
[PR11] A.G. Tartakovsky, “Asymptotically Optimal Sequential Tests for Nonhomogeneous Processes.” Technical report No. 433, Center for Stochastic Processes, Department of Statistics, University of North Carolina at Chapel Hill, 1994.
[PR10] A.G. Tartakovsky, “Minimal Time Detection Algorithms and Applications to Flight Systems.” Technical Report No. 2-FSRC-93, School of Engineering and Applied Science, Electrical Engineering Department, University of California at Los Angeles, 1994.
[PR9] A.G. Tartakovsky, “Application of Multiple Random Access Algorithms to Satellite Communication Systems and Earth Networks.” Technical Report, Institute of Radio Technology, Moscow, Russia, 1993. Alexander Tartakovsky 14
[PR8] A.G. Tartakovsky, “The Method for Choosing of the Most Informative Features and Application to Pattern Recognition in Complex Systems.” Technical Report, Institute of Radio Technology, Moscow, Russia, 1992.
[PR7] A.G. Tartakovsky, “An Overview of Sequential Analysis Methods: Sequential Hypothesis Testing and Change-Point Detection Problems.” Preprint, Institute of Radio Technology, Moscow, USSR, 1990.
[PR6] A.G. Tartakovsky, “Methods of Sequential Analysis with Applications to Synthesis and Analysis of Large Scale Information Systems in the Conditions of Prior Uncertainty.” Preprint Prepared for the Advanced Doctor of Sciences Degree in Technology, Department of Radio Technology and Cybernetics, Moscow Institute of Physics and Technology, USSR, 1990.
[PR5] A.G. Tartakovsky, “Detection of Underwater Targets by High-Resolution Space-Borne Radar Systems: General Concept and SAR Image Processing Algorithms.” Technical Report, Institute of Radio Technology, Moscow, USSR, 1989.
[PR4] A.G. Tartakovsky, “Bayesian and Non-Bayesian Procedures of Sequential Estimation.” Preprint, Institute of Radio Technology, Moscow, USSR, 1987.
[PR3] A.G. Tartakovsky, “Suppression of Reverberation and Adaptive Sequential Algorithms for Detecting Low-Contrast Underwater Targets in Shallow Water.” Technical Report, Institute of Radio Technology & USSR Academy of Sciences Physical Institute, Moscow, USSR, 1983.
[PR2] A.G. Tartakovsky, “Sequential Estimation of Parameters of Dynamical Systems.” Preprint, Institute of Radio Technology.” USSR Academy of Sciences, Moscow, USSR, 1983.
[PR1] A.G. Tartakovsky, “Methods of Sequential Analysis with Applications to Detection and Tracking of Targets by Radar Systems.” Ph.D. Dissertation, Department of Information Systems, Moscow Institute of Physics and Technology, Moscow, USSR, 1981.

 

 

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