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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

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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

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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.

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Modeling and optimization of complex systems traditionally have required significant programming efforts in order to encode the model dynamics, the cost functions and the constraints in a format suitable for state of the art numerical algorithms. The availability of dedicated languages for physical modeling has made the design process simpler, but often tools have been limited to a particular opti

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Different applications of high power ultrasound in industry and medical applications are based on the propagation and collapse of acoustic cavitation bubbles. This paper presents an enhanced numerical model and simulated results of formation and collapse of a single bubble in a liquid for two cases: bubble with uniform pressure and a bubble with variable pressure inside. For the two cases, both he