Sökning: "signal reconstruction."
Visar resultat 1 - 5 av 81 uppsatser innehållade orden signal reconstruction..
1. Effectiveness of Iterative Algorithms for Recovering Phase in the Presence of Noise for Coherent Diffractive Imaging
Master-uppsats, Göteborgs universitet / Institutionen för fysikSammanfattning : 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. LÄS MER
2. If Trees Could Talk - Dendrochemistry, a Promising Method for Understanding Pollution History
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : Heavy metal pollution presents a significant environmental challenge in the Anthropocene era, and understanding pollution history is crucial to address historical pollution and implementing effective mitigation measures. This study stands among a few comprehensive dendrochemical investigations that utilized an extensive dataset and energy dispersive X-ray fluorescence (EDXRF) technique to reconstruct the contamination history of As, Cd, Cu, Ni, Pb, and Zn, with a focus on Cu. LÄS MER
3. Evaluating image analysis techniques for ultrasound optical tomography in breast tissue
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Breast cancer is the most commonly diagnosed cancer in the world today and early detection is crucial to minimize the mortality. ”Ultrasound optical tomography” (UOT) is a method under development for deep tissue imaging. LÄS MER
4. Pulse Amplitude Reconstruction in the LDMX Hadronic Calorimeter Readout
Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysikSammanfattning : The universe shows signs of containing some invisible matter, known as dark matter. There are many possible constituents for dark matter, one such being light dark matter which would interact with ordinary matter through a new mediator force and have masses in the range of a few MeV to GeV. LÄS MER
5. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction
Master-uppsats, KTH/Matematisk statistikSammanfattning : 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. LÄS MER