Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"blind identification"”.
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Blind Identification of MIMO Systems: Signal Modulation and Channel Estimation
… mitigate them. This dissertation addresses the blind (unaided) identification of the signal modulations and the channel in a Multiple Input Multiple Output (MIMO) system. The method presented herein takes advantage of the modulation induced periodicities of the signals in the system and uses …
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A system identification approach to non-invasive central cardiovascular monitoring
This thesis presents a new system identification approach to non-invasive central cardiovascular monitoring problem. For this objective, this thesis will develop and analyze blind system identification and input signal reconstruction algorithms for a class of 2-channel IIR and Wiener systems. In …
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Blind separation of noisy multivariate data using second-order statistics
A second-order method for blind source separation of noisy instantaneous linear mixtures is presented and analyzed for the case where the signal order k and noise covariance GG-H are unknown. Only a data set X of dimension n > k and of sample size m is observed, where X = AP + GW. The quality of …
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Iterative blind separation of Gaussian data of unknown order
A method for blind separation of noisy jointly Gaussian multivariate signals X is presented, where X = AP + N, X is an observed set of vectors, A is the mixing matrix, P is the unknown signal matrix, and N is white noise. The objective is to estimate all matrices on the right-hand side when even …
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Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction
… by a customized pulse sequence, the fast semi-blind acquisition design technique enables streamlined implementation of the method in a clinical setting. Moreover, the unified multi-channel sampling framework explicitly accounts for speed limitations of gradient encoding, provides performance …