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Showing 1 to 5 of 5 for “"piecewise linear model"”.

  1. Efficient analysis of complex changepoint problems

    … or changepoints, occur is required for effective modelling of the data. In this thesis we explore the common approaches used for detecting changepoints. We focus in particular on techniques which can be formulated in terms of minimising a cost over segmentations and solved exactly using a class of …

    lancaster Repository record for Efficient analysis of complex changepoint problems (opens in a new tab)

  2. Analysis and design of high order digital phase locked loops

    … frequency demodulators. It is an inherently nonlinear closed loop feedback system; the nonlinearity is due mainly to the fact that the feedback loop comparator exhibits quantization-like effects at its output. The consequence of this nonlinearity is a lack of understanding of the behaviour of …

    maynooth Repository record for Analysis and design of high order digital phase locked loops (opens in a new tab)

  3. Physics of ultrasonic wave propagation in bone and heart characterized using Bayesian parameter estimation

    … complete characterization of anisotropy. A novel piecewise linear model for the cyclic variation of ultrasonic backscatter from myocardium was proposed. Models of cyclic variation for 100 type 2 diabetes patients and 43 normal control sub jects were constructed using Bayesian parameter estimation. …

    wustl Repository record for Physics of ultrasonic wave propagation in bone and heart characterized using Bayesian parameter estimation (opens in a new tab)

  4. Optimization in Deep Learning: Structured, Realistic and Interpretable Learning for Decision-Making

    … and interpretability of deep learning models in decision-making tasks. We begin, in Chapter 2, by addressing the challenge of optimizing trained neural networks for data-driven decision-making. Although neural networks can encode rich representations of preferences or outcomes, directly …

    mit Repository record for Optimization in Deep Learning: Structured, Realistic and Interpretable Learning for Decision-Making (opens in a new tab)

  5. Digital calibration of nonlinear memory errors in sigma-delta ADCs

    … techniques based on an output-referred error model are proposed to linearize sigma-delta (ΣΔ) modulators. A sequential power series (a special form of Volterra series) is found sufficient to model the nonlinear memory errors in a discrete-time integrator (DTI), which entails the application of …

    uiuc Repository record for Digital calibration of nonlinear memory errors in sigma-delta ADCs (opens in a new tab)