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Showing 1 to 9 of 9 for “"spectral entropy"”.

  1. An Analysis of DNF Maximum Entropy

    This study focuses on the entropy of functions computed by monotone DNF formulas. Entropy, which is a measure of uncertainty, information, and choice, has been long studied in the field of mathematics and computer science. We will be considering spectral entropy and focus on the conjecture that for …

    duquesne Repository record for An Analysis of DNF Maximum Entropy (opens in a new tab)

  2. Incompressible flow over a three-dimensional cavity

    … of the areas of transition, a new:<br/>spectral-entropy based method is proposed. The product of the spectral entropy and energy of the pressure fluctuation is used for predicting the location of transition in the shear-layer flow. Typical results of simulation of incompressible laminar …

    qu-belfast Repository record for Incompressible flow over a three-dimensional cavity (opens in a new tab)

  3. Wavelet Scattering Transforms Applied to Whale Vocalisations

    … an additional contribution, we improve upon the spectral entropy (SE) detector, which is known to be superior in terms of signal detection compared to energy detectors. In the second publication, we expand on the connection of the CWT to wavelet scattering. Wavelet scattering is a feature …

    stellenbosch Repository record for Wavelet Scattering Transforms Applied to Whale Vocalisations (opens in a new tab)

  4. Adaptive Detection of Beta Bursts of Local Field Potentials Recorded from Subthalamic Nucleus in Patients with Parkinson’s Disease

    … using nondyadic segmentation. We show that the spectral entropy of these adaptively captured bursts previse patient symptoms accurately and may outperform the basic beta suppression approach, such as thresholding. In this work, 120s of LFP data recorded in the resting state from chronic DBS …

    houston Repository record for Adaptive Detection of Beta Bursts of Local Field Potentials Recorded from Subthalamic Nucleus in Patients with Parkinson’s Disease (opens in a new tab)

  5. Full spectrum utilization for high-efficiency solar energy conversion

    … same power density. Next, we explored the use of spectral splitting as a different strategy to use both thermal and photovoltaic technologies. A model of an ideal solar spectral-splitting converter was developed to determine the conversion efficiency limit as well as the corresponding optimum …

    mit Repository record for Full spectrum utilization for high-efficiency solar energy conversion (opens in a new tab)

  6. Harvesting photon energy : ultra-thin crystalline silicon solar cell & near-field thermoradiative cells

    … concurrently considering electron transport and entropy generation. Photovoltaic technology has been widely adopted to convert solar energy into electricity. Crystalline silicon material occupies ~90% of the photovoltaic market. However, the silicon material in a photovoltaic module with …

    mit Repository record for Harvesting photon energy : ultra-thin crystalline silicon solar cell & near-field thermoradiative cells (opens in a new tab)

  7. Topic Modeling for Inferring Brain States from Electroencephalography (EEG) Signals

    … states corresponding to brain injury in mice. Spectral, entropy and moment related features are extracted from EEG signals recorded from mice with artificially induced brain injury. We present an analysis on the relative importance of these features using bagged decision trees, and demonstrate …

    duke Repository record for Topic Modeling for Inferring Brain States from Electroencephalography (EEG) Signals (opens in a new tab)

  8. Ανάπτυξη μεθόδων ανάλυσης ηλεκτροεγκεφαλογραφήματος με χρήση μοντέλων συνδεσιμότητας και μεγεθών εντροπίας

    Σκοπός της παρούσας διδακτορικής διατριβής είναι η ανάπτυξη και η εφαρμογή εξελιγμένων αλγορίθμων ανάλυσης ηλεκτροεγκεφαλογραφήματος ηρεμίας (rest EEG) και προκλητών δυναμικών (ERP) για την εξαγωγή νευροφυσιολογικών συμπερασμάτων σχετικά με νευρολογικές/ψυχιατρικές ασθένειες. Οι τεχνικές που …

    patras-thes Repository record for Ανάπτυξη μεθόδων ανάλυσης ηλεκτροεγκεφαλογραφήματος με χρήση μοντέλων συνδεσιμότητας και μεγεθών εντροπίας (opens in a new tab)

  9. Prediction of the Outcome in Cardiac Arrest Patients Undergoing Hypothermia Using EEG Wavelet Entropy

    … (EEG) signals, called wavelet sub-band entropy, was employed to predict the patients’ outcomes. We hypothesized that the EEG signals of the patients who survived would demonstrate more complexity and consequently higher values of wavelet sub-band entropies.</p> <p>A dataset of 16-channel …

    claremont Repository record for Prediction of the Outcome in Cardiac Arrest Patients Undergoing Hypothermia Using EEG Wavelet Entropy (opens in a new tab)