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Progress in theory and applications of adaptive control is reviewed. Different approaches are discussed with particular emphasis on model reference adaptive systems and self-tuning regulators. Techniques for analysing adaptive systems are discussed. This includes stability and convergence analysis. It is shown that adaptive control laws can also be obtained from stochastic control theory. Issues o
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This paper concerns the optimal weighting factors for multiple window spectrogram estimation of different stationary and non-stationary processes. The choice of windows are of course important but the weighting factors in the average of the different spectrograms are as important. The criterion for optimization is the normalized mean square error where the normalization factor is the spectrogrames
An iterative decoding scheme for woven convolutional codes is presented. It is called pipeline decoding and operates in a window sliding over the received sequence. This exploits the nature of convolutional codes as sequences and suits the concept of convolutional encoding and decoding as a continuous process. The pipeline decoder is analyzed in terms of decoding delay and decoding complexity. Add
This paper deals with the problem of sampling a continuous-time system which contains a time delay. It is shown that the infinite-dimensional continuons-time system can be represented by a finite-dimensional sampled data system. It is shown that there are simple expressions for the sampled data state-space representations.
