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 10 of 10 for “"nonlinear transformation"”.
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A Bayesian Fusion Approach and Its Application to Integrating Audio and Visual Signals in HCI
… correlation analysis (CCA) is developed to model nonlinear or high-order correlations between signals from two sources. Kernel CCA uses kernel principal component analysis (PCA), which elegantly combines a nonlinear transformation and linear PCA into a one-step calculation, so as to avoid the …
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Nonlinear transform coding with lossless polar coordinates
… prevents one from considering the use of a nonlinear change of variables. If no linear transformation of a given source would yield independent components, this means having to encode it at a rate higher than its entropy, i.e. suboptimally. This thesis proposes a new transform coding …
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Neural coding of sound envelope in reverberant environments
… function (MIOF), which describes the nonlinear transformation of modulation depth from the sound stimulus into the neural response. However, in a subset of neurons, the MIOF underestimated the strength of temporal coding, suggesting that reverberant stimuli may have a coding advantage …
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Nonlinear Dynamical Analysis Of Microvascular Red Blood Cell Flow
… RBC velocity demonstrate behaviour typical of a nonlinear transformation of another process. Pressure and Resistance, are postulated to impact the time series distributions, thus influencing the dynamics of RBC flow. The combined action of these factors and other mechanisms, may contribute to the …
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Synchronization, Variability, and Nonlinearity Analysis: Applications to Physiological Time Series
… thesis, we study synchronization, variability, nonlinearity analysis and their applications in physiological time series. For synchronization analysis, we explore both intensity and directionality of interaction. We propose a computational method to specify frequency ratio n : m, detect the …
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Uncertainty Quantification in Dynamic Problems With Large Uncertainties
… The basis random variables are obtained via nonlinear transformation of marginal cumulative distribution function using standard deviation. Results are obtained for three known skewed distributions, Log-Normal, Beta, and Exponential. In all the cases, it is found that the proposed algorithm …
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Robust Identification, Estimation, and Control of Electric Power Systems using the Koopman Operator-Theoretic Framework
The study of nonlinear dynamical systems via the spectrum of the Koopman operator has emerged as a paradigm shift, from the Poincaré's geometric picture that centers the attention on the evolution of states, to the Koopman operator's picture that focuses on the evolution of observables. The Koopman …
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Implications of seasonality and asymmetry for ENSO’s predictability and future changes
… and global climate models, they rely on nonlinear parameterizations which may misrepresent the processes giving rise to ENSO asymmetry. We show that the Koopman-based approach, based on finding a nonlinear transformation which makes ENSO look symmetric, can reproduce the most salient …
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One-vector representations of stochastic signals for pattern recognition
… a single vector is constructed based on a transformation of the parameters of an HMM that is adapted from a UBM by various controllable degrees, where the transformation is mathematically derived based on an upper bound approximation of the Kullback-Leibler divergence rate between two …
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Self-organized criticality in neuromorphic nanowire networks
L'abstract è presente nell'allegato / the abstract is in the attachment