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Showing 1 to 6 of 6 for “"Prewhitening"”.

  1. A Sequential Hypothesis Testing Approach to Detecting Small, Moving Objects in Image Sequences

    … of digital images. First, statistically robust prewhitening techniques are used to eliminate background structure and transform the image sequence into an innovations representation, modeled as Gaussian white noise. Then, a large number of candidate trajectories, organized into a tree structure, …

    uiuc Repository record for A Sequential Hypothesis Testing Approach to Detecting Small, Moving Objects in Image Sequences (opens in a new tab)

  2. Inference of time series regression models with weakly dependent errors

    … error process is strong. We propose to use the prewhitening to handle the strong temporal dependence so that the size distortion is greatly reduced in the presence of strong temporal dependence in the error. This work is presented as Chapter 2, in the context of time series regression with …

    uiuc Repository record for Inference of time series regression models with weakly dependent errors (opens in a new tab)

  3. Computing Two-Dimensional Unambiguous Horizontal Wave Number Spectra From OH Airglow Images

    … wavelength) and image FOV. Spatial and temporal prewhitening is employed prior to computing spectra to minimize artifacts in the derived unambiguous spectrum. We illustrate the method with real images acquired on 3 February 1995 at the Starfire Optical Range (SOR) near Albuquerque, New Mexico. …

    uiuc Repository record for Computing Two-Dimensional Unambiguous Horizontal Wave Number Spectra From OH Airglow Images (opens in a new tab)

  4. Robust Kalman Filters Using Generalized Maximum Likelihood-Type Estimators

    … outliers. In addition, it consists of a new prewhitening method that incorporates a robust multivariate estimator of location and covariance. Furthermore, the filter provides state estimates that are robust to outliers while maintaining a high statistical efficiency at the Gaussian …

    vt Repository record for Robust Kalman Filters Using Generalized Maximum Likelihood-Type Estimators (opens in a new tab)

  5. Validation of statistical methods used in task fMRI studies

    … identified several relevant problems related to prewhitening and hemodynamic response function modelling. Importantly, in this thesis I address ways of dealing with such problems so that sensitivity and specificity in task fMRI studies can be improved.

    cambridge Repository record for Validation of statistical methods used in task fMRI studies (opens in a new tab)

  6. Environmental changes and regime shift analysis in the southern Benguela using output from earth system models

    The accelerating pace of anthropogenic carbon emissions has triggered profound changes in Earth's climate, affecting marine ecosystems and fisheries globally. This study focuses on the southern Benguela, an integral region of the southern African Eastern Boundary Upwelling System (EBUS), …

    cape-town Repository record for Environmental changes and regime shift analysis in the southern Benguela using output from earth system models (opens in a new tab)