Search for dissertations about: "Change Point Detection"

Showing result 1 - 5 of 49 swedish dissertations containing the words Change Point Detection.

  2. 1. Change Point Detection with Applications to Wireless Sensor Networks

    Author : Markus Eriksson; Tomas Olofsson; Idris Eckley; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Change Point Detection; Signal Processing; Dynamic Programming; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Abstract : In this thesis work we develop a new algorithm for detecting joint changes in statistical behavior of multiple, simultaneously recorded, signals. Such signal analysis is commonly known as multivariate change point (CP) detection (CPD) and is of interest in many scientific and engineering applications. READ MORE

  4. 2. Change point detection with respect to variance

    Author : Elias Erdtman; Martin Singull; Dietrich von Rosen; Nader Tajvidi; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : This thesis examines a simple method for detecting a change with respect to the variance in a sequence of independent normally distributed observations with a constant mean. The method filters out observations with extreme values and divides the sequence into equally large subsequences. READ MORE

  5. 3. A Bayesian approach to retrospective detection of change-points in road surface measurements

    Author : Fridtjof Thomas; Urban Hjort; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Change-point detection; retrospective view; autoregressive processes; minimal imaginary training sample; road surface measurements; international roughness index; rutting; Laser-RST vehicles; road maintenance; pavement management; statistik; Statistics;

    Abstract : First-order autoregressive processes are analysed for sudden changes in parameter value. In its most general form, a multivariate vector of measurements is allowed, and no prior knowledge about the involved parameters is required. READ MORE

  6. 4. Supervised and Unsupervised Deep Learning Models for Flood Detection

    Author : Ritu Yadav; Yifang Ban; Andrea Nascetti; Nicolas Audebert; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Floods; Remote Sensing; Sentinel-1 SAR; Segmentation; Change Detection; DEM; Data Fusion; Time Series; Deep Learning; Unsupervised Learning; Contrastive Learning; Self-Attention; Convolutional LSTM; Variational AutoEncoder VAE ; Geoinformatik; Geoinformatics;

    Abstract : Human civilization has an increasingly powerful influence on the earthsystem. Affected by climate change and land-use change, floods are occurringacross the globe and are expected to increase in the coming years. Currentsituations urge more focus on efficient monitoring of floods and detecting impactedareas. READ MORE

  7. 5. Mapping and Merging Using Sound and Vision : Automatic Calibration and Map Fusion with Statistical Deformations

    Author : Gabrielle Flood; Matematik LTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Time of arrival; TOA; Time-difference of arrival; TDOA; Subsample methods; Uncertainty measure; Constant offset; RANSAC; Map merging; Map fusion; Change detection; Collaborative SLAM; Structure from motion; SfM; SLAM; Mapping; Localisation; Registration; Sparse maps; Point clouds;

    Abstract : Over the last couple of years both cameras, audio and radio sensors have become cheaper and more common in our everyday lives. Such sensors can be used to create maps of where the sensors are positioned and the appearance of the surroundings. READ MORE