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Modular memory model using state-variable approach

Modular memory model using state-variable approach

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A simple time-discrete state-variable model is presented for the modular memory system. The concepts of state and output controllability and observability are used to eliminate the memory interference problems. An analysis of the model using the ergodic Markov chain and the Cayley-Hamilton theorem is provided.

References

    1. 1)
      • R.P. Roesser . A discrete state-space model for linear image processing. IEEE Trans. , 1 - 10
    2. 2)
      • E.G. Coffman . A simple probability model yielding performance bounds for modular memory systems. IEEE Trans. , 86 - 89
    3. 3)
      • H. Stark , J.W. Woods . (1986) , Probability, random processes and estimation theory for engineers.
    4. 4)
      • B.C. Kuo . (1991) , Automatic control systems.
    5. 5)
      • K. Hwang , F.A. Briggs . (1984) , Computer architecture and parallel processing.
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