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Development of a decomposition approach for testing large analog circuitsDai, Hong. January 1989 (has links)
Thesis (Ph. D.)--Ohio University, June, 1989. / Title from PDF t.p.
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Improving timing verification and delay testing methodologies for IC designsZeng, Jing, Abraham, Jacob A. January 2005 (has links) (PDF)
Thesis (Ph. D.)--University of Texas at Austin, 2005. / Supervisor: Jacob A. Abraham. Vita. Includes bibliographical references.
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Modelling of I2l unit cellKirschner, Nikolaus 08 September 2015 (has links)
Ph.D. / Please refer to full text to view abstract
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Algorithms and structures for long adaptive echo cancellersZerguine, Azzedine January 1996 (has links)
The main theme of this thesis is adaptive echo cancellation. Two novel independent approaches are proposed for the design of long echo cancellers with improved performance. In the first approach, we present a novel structure for bulk delay estimation in long echo cancellers which considerably reduces the amount of excess error. The miscalculation of the delay between the near-end and the far-end sections is one of the main causes of this excess error. Two analyses, based on the Least Mean Squares (LMS) algorithm, are presented where certain shapes for the transitions between the end of the near-end section and the beginning of the far-end one are considered. Transient and steady-state behaviours and convergence conditions for the proposed algorithm are studied. Comparisons between the algorithms developed for each transition are presented, and the simulation results agree well with the theoretical derivations. In the second approach, a generalised performance index is proposed for the design of the echo canceller. The proposed algorithm consists of simultaneously applying the LMS algorithm to the near-end section and the Least Mean Fourth (LMF) algorithm to the far-end section of the echo canceller. This combination results in a substantial improvement of the performance of the proposed scheme over both the LMS and other algorithms proposed for comparison. In this approach, the proposed algorithm will be henceforth called the Least Mean Mixed-Norm (LMMN) algorithm. The advantages of the LMMN algorithm over previously reported ones are two folds: it leads to a faster convergence and results in a smaller misadjustment error. Finally, the convergence properties of the LMMN algorithm are derived and the simulation results confirm the superior performance of this proposed algorithm over other well known algorithms.
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An electronic system for wear-debris condition monitoringFlanagan, Ian MacPherson January 1987 (has links)
No description available.
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Theory, design and application of gradient adaptive lattice filtersRutter, M. J. January 1983 (has links)
No description available.
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The design and implementation of digital wave filter adaptorsPetrie, Neil January 1985 (has links)
No description available.
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Modelling and verification in structured integrated circuit designBuchanan, Irene January 1980 (has links)
No description available.
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Design and implementation of switched-capacitor frequency-selective filters in MOS technologyRafat, H. A. January 1983 (has links)
No description available.
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Genetic neural networks on MIMD computersRadcliffe, Nicholas J. January 1990 (has links)
No description available.
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