Sökning: "Sparse sampling"
Visar resultat 1 - 5 av 47 avhandlingar innehållade orden Sparse sampling.
1. Cooperative Compressive Sampling
Sammanfattning : Compressed Sampling (CS) is a promising technique capable of acquiring and processing data of large sizes efficiently. The CS technique exploits the inherent sparsity present in most real-world signals to achieve this feat. Most real-world signals, for example, sound, image, physical phenomenon etc., are compressible or sparse in nature. LÄS MER
2. The PET sampling puzzle : intelligent data sampling methods for positron emission tomography
Sammanfattning : Much like a backwards computed Sudoku puzzle, starting from the completed number grid and working ones way down to a partially completed grid without damaging the route back to the full unique solution, this thesis tackles the challenges behind setting up a number puzzle in the context of biomedical imaging. By leveraging sparse signal processing theory, we study the means of practical undersampling of positron emission tomography (PET) measurements, an imaging modality in nuclear medicine that visualises functional processes within the body using radioactive tracers. LÄS MER
3. On Uncertainty and Data Worth in Decision Analysis for Contaminated Land
Sammanfattning : Contaminated soil and groundwater is a problem that has received increased attention in the last decade. Decision-making about investigation strategies, protective actions, and remedial actions is based on sparse and uncertain information, primarily data of contaminant concentrations and geological information. LÄS MER
4. Effective Sampling Design for Groundwater Transport Models
Sammanfattning : Model reliability is important when groundwater models are used for evaluation of environmental impact and water resource management. Model attributes such as geohydrologic units and parameter values need to be quantified in order to obtain reliable results. LÄS MER
5. Data-Driven Approaches for Sparse Reflectance Modeling and Acquisition
Sammanfattning : Photo-realistic rendering and predictive image synthesis are becoming increasingly important and utilized in many application areas ranging from production of visual effects and product visualization to digital design and the generation of synthetic data for visual machine learning applications. Many essential components of the realistic image synthesis pipelines have been developed tremendously over the last decades. LÄS MER
