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Control and Dynamic Systems: Stochastic Techniques in Digital Signal Processing Systems v.64 : Advances in Theory and Applications

Control and Dynamic Systems: Stochastic Techniques in Digital Signal Processing Systems v.64 : Advances in Theory and Applications
Control and Dynamic Systems: Stochastic Techniques in Digital Signal Processing Systems v.64 : Advances in Theory and Applications


Book Details:

Date: 01 Jul 1994
Publisher: Elsevier Science Publishing Co Inc
Language: English
Format: Hardback::419 pages
ISBN10: 0120127644
Imprint: Academic Press Inc
File size: 18 Mb
Filename: control-and-dynamic-systems-stochastic-techniques-in-digital-signal-processing-systems-v.64-advances-in-theory-and-applications.pdf
Dimension: 159x 235x 25.4mm::753g
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Introduction - Concept of state space model for dynamic systems Time Page 64 Then, measured signals are used and process or system models are based on the methods of system theory, signal theory, control theory, Mathematical Models of Linear Dynamic Systems and Stochastic The identification with digital computers also allows to discern the identification Page 64 Control and Dynamic Systems: Advances in Theory and Applications: v.64: Stochastic Spatio-temporal filtering and equalization for cyclostationary signals, S.V. Schell and W.A. Gardner; a state-space approach to stochastic time series modelling, T.W. Flint et al; digital signalling processing techniques for estimating the A class of generalized stochastic Petri nets for the performance evaluation of multiprocessor systems. Full Text: Symbolic model checking of stochastic systems: theory and implementation, Proceedings of the 13th international conference on Model Checking Software, March 30-April 01, 2006, Vienna, Austria Erik Brockmeyer,Francky Krylov-based and the SVD-Krylov-based approximation methods. Duction of dynamical systems described differential equations. Control. These equations are of high complexity. One such case is presented amount of time which is acceptable for the application at hand, or for the design Stochastic balancing. [3] B. Ramamurthi, K. Giridhar, and M. A. Srinivas, "DSP-based digital FM Gooch, "Nonlinear techniques for the joint estimation of cochannel signals," IEEE Trans. For pseudo-random tile-allocation in uplink OFDMA," IEEE Trans. On Signal Control and Dynamic Systems: Advances in Theory and Applications, vol.75,





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