Essays about: "Wavelet analysis"
Showing result 1 - 5 of 59 essays containing the words Wavelet analysis.
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1. Data Assimilation for Systems with Multiple Timescales
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : This text provides an overview of problems in the field of data assimilation. We explore the possibility of recreating unknown data by continuously inserting known data into certain dynamical systems, under certain regularity assumptions. READ MORE
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2. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis
University essay from Uppsala universitet/Avdelningen Vi3Abstract : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. READ MORE
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3. Vibroacoustic Analysis of an OLTC Diverter Switch for Condition Monitoring : Time frequency analysis with Fourier and wavelet transform in combination with multivariate logistic regression for condition monitoring of OLTC diverter switch
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Vibrations are everywhere around us all the time and we often recognise them as sounds that we can hear and analyse with our brain. In this thesis, data that has been gathered from a diverter switch (DS) in a controlled environment, is analysed. READ MORE
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4. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. READ MORE
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5. Feature extraction from MEG data using self-supervised learning : Investigating contrastive representation learning methods to f ind informative representations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Modern day society is vastly complex, with information and data constantly being posted, shared, and collected everywhere. There is often an abundance of massive amounts of unlabeled data that can not be leveraged in a supervised machine learning context. READ MORE