Essays about: "Iterative reconstruction"

Showing result 1 - 5 of 41 essays containing the words Iterative reconstruction.

  1. 1. Utilizing Hydra for Real-Time Reconstruction of Environments in Extended Reality

    University essay from Lunds universitet/Ergonomi och aerosolteknologi

    Author : Edward Sjöblom; Hannes Rydén Sonesson; [2024]
    Keywords : extended reality; usability testing; Technology and Engineering;

    Abstract : This thesis explores the use of Hydra for real-time reconstruction of environments in extended reality (XR). The development of the prototype was performed in an iterative manner. Three iterations were executed, each resulting in a prototype with improvements related to the takeaways from the preceding prototype. READ MORE

  3. 2. Effectiveness of Iterative Algorithms for Recovering Phase in the Presence of Noise for Coherent Diffractive Imaging

    University essay from Göteborgs universitet / Institutionen för fysik

    Author : Henry Wittler; [2023-11-29]
    Keywords : ;

    Abstract : Methods of coherent diffractive imaging (CDI) rely on iterative algorithms to reconstruct the complex exit-surface wave (ESW) of the object being imaged from the measured diffraction intensity only. In this thesis we investigate by simulation the artifacts on reconstruction when noise are present in the measurement. READ MORE

  4. 3. Over-the-Air Federated Learning with Compressed Sensing

    University essay from Linköpings universitet/Kommunikationssystem

    Author : Adrian Edin; [2023]
    Keywords : machine learning; ML; Federated Learning; FL; Over-the-air; Over-the-air computation; OtA; OtA computation; AirComp; Compressed sensing; CS; Iterative Hard thresholding; IHT;

    Abstract : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). READ MORE

  5. 4. A review of the Kaczmarz method

    University essay from Lunds universitet/Matematikcentrum; Lunds universitet/Matematik (naturvetenskapliga fakulteten)

    Author : Carl Lokrantz; [2023]
    Keywords : Kaczmarz method; Least squares; Image reconstruction; Iterative method; Linear system of equations; Projection; Numerical Linear Algebra; Block Kaczmarz; Greedy Kaczmarz; Randomized Kaczmarz; Mathematics and Statistics;

    Abstract : The Kaczmarz method is an iterative method for solving linear systems of equations. The Kaczmarz method has been around since it was developed by Kaczmarz 1937. The main idea behind the original Kaczmarz method is to orthogonally project the previous x_k onto the solution space given by a row of the system. READ MORE

  6. 5. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

    University essay from KTH/Matematisk statistik

    Author : Sabina Syed; Josefin Stenberg; [2023]
    Keywords : Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

    Abstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE