Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
Skip header Section
Linear stochastic systemsOctober 1987
Publisher:
  • John Wiley & Sons, Inc.
  • 605 Third Ave. New York, NY
  • United States
ISBN:978-0-471-08101-2
Published:01 October 1987
Skip Bibliometrics Section
Reflects downloads up to 17 Feb 2025Bibliometrics
Abstract

No abstract available.

Cited By

  1. Charalambous C, Kourtellaris C and Loyka S (2019). Capacity Achieving Distributions and Separation Principle for Feedback Gaussian Channels With Memory, IEEE Transactions on Information Theory, 64:9, (6384-6418), Online publication date: 1-Sep-2018.
  2. Baharloo M, Arabneydi J and Aghdam A Near-Optimal Control Strategy in Leader-Follower Networks: A Case Study for Linear Quadratic Mean-Field Teams 2018 IEEE Conference on Decision and Control (CDC), (3288-3293)
  3. Afshari M and Mahajan A Team Optimal Decentralized State Estimation 2018 IEEE Conference on Decision and Control (CDC), (5044-5050)
  4. Alj A, Jónasson K and Mélard G (2016). The exact Gaussian likelihood estimation of time-dependent VARMA models, Computational Statistics & Data Analysis, 100:C, (633-644), Online publication date: 1-Aug-2016.
  5. ACM
    van Dalen J, Ketter W, Lucchese G and Collins J A Kalman filter approach to analyze multivariate hedonics pricing model in dynamic supply chain markets Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business, (58-67)
  6. Kim Y (2019). Feedback capacity of stationary Gaussian channels, IEEE Transactions on Information Theory, 56:1, (57-85), Online publication date: 1-Jan-2010.
  7. Du D, Bhosri W and Frazho A (2010). Multirate filterbank design, IEEE Transactions on Signal Processing, 58:4, (2102-2112), Online publication date: 1-Apr-2010.
  8. Naser-Moghadasi M A new graphical recursive pruning method for the incremental pruning algorithm Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I, (232-242)
  9. Naser-Moghadasi M A new pruning method for incremental pruning algorithm using a sweeping scan-line through the belief space Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I, (243-253)
  10. Denic S, Charalambous C and Djouadi S (2019). Information theoretic bounds for compound MIMO Gaussian channels, IEEE Transactions on Information Theory, 55:4, (1603-1617), Online publication date: 1-Apr-2009.
  11. Liu Z, Nehorai A and Paldi E (2009). A biologically inspired compound-eye detector array-part I, IEEE Transactions on Signal Processing, 57:5, (1839-1857), Online publication date: 1-May-2009.
  12. Olama M, Djouadi S and Charalambous C (2009). Stochastic differential equations for modeling, estimation and identification of mobile-to-mobile communication channels, IEEE Transactions on Wireless Communications, 8:4, (1754-1763), Online publication date: 1-Apr-2009.
  13. Farhadi A and Ahmed N Decentralized suboptimal control via limited capacity channels Proceedings of the 2009 conference on American Control Conference, (3525-3530)
  14. Fassò A, Cameletti M and Bertaccini P Uncertainty decomposition in environmental modelling and mapping Proceedings of the 2007 Summer Computer Simulation Conference, (867-874)
  15. Petreczky M and Vidal R Metrics and topology for nonlinear and hybrid systems Proceedings of the 10th international conference on Hybrid systems: computation and control, (459-472)
  16. Medel J, López P and Pérez D Matricial estimation for start times with stochastic behaivor by periodic real time tasks in a concurrent system Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering, (214-217)
  17. Semoushin I Jointly performed computational tasks in the multi-mode system identification Proceedings of the 2003 international conference on Computational science: PartII, (407-416)
  18. Gorokhov O and Semoushin I Developing a simulation tool box in MATLAB and using it for non-linear adaptive filtering investigation Proceedings of the 2003 international conference on Computational science: PartII, (436-445)
  19. Sellami N, Fijalkow I and Siala M (2002). Low-complexity iterative receiver for space-time coded signals over frequency selective channels, EURASIP Journal on Advances in Signal Processing, 2002:1, (517-524), Online publication date: 1-Jan-2002.
  20. Boutilier C Knowledge representation for stochastic decision processes Artificial intelligence today, (111-152)
  21. AKÇAY H and NINNESS B (2019). Rational Basis Functions for Robust Identification from Frequency and Time-Domain Measurements, Automatica (Journal of IFAC), 34:9, (1101-1117), Online publication date: 1-Sep-1998.
  22. Digalakis V, Rohlicek J and Ostendorf M A dynamical system approach to approach to continuous recognition Proceedings of the workshop on Speech and Natural Language, (253-257)
Contributors
  • McGill University

Recommendations