Sökning: "distributed compressed sensing"
Visar resultat 1 - 5 av 6 avhandlingar innehållade orden distributed compressed sensing.
1. Compressed Sensing : Algorithms and Applications
Sammanfattning : The theoretical problem of finding the solution to an underdeterminedset of linear equations has for several years attracted considerable attentionin the literature. This problem has many practical applications.One example of such an application is compressed sensing (cs), whichhas the potential to revolutionize how we acquire and process signals. LÄS MER
2. Greedy Algorithms for Distributed Compressed Sensing
Sammanfattning : Compressed sensing (CS) is a recently invented sub-sampling technique that utilizes sparsity in full signals. Most natural signals possess this sparsity property. From a sub-sampled vector, some CS reconstruction algorithm is used to recover the full signal. LÄS MER
3. Source and Channel Coding for Compressed Sensing and Control
Sammanfattning : Rapid advances in sensor technologies have fueled massive torrents of data streaming across networks. Such large volume of information, indeed, restricts the operational performance of data processing, causing inefficiency in sensing, computation, communication and control. LÄS MER
4. Consensus Trade-offs in Wireless Sensor Networks
Sammanfattning : As more and more everyday electronic devices become equipped with the combined re- sources of computation, sensing, and wireless communications, possible platforms for implementation of wireless sensor networks have become ubiquitous. The combination of these three main capabilities of such a network present the opportunity to for example gather high resolution measurement data, or cooperatively perform advanced computa- tional tasks. LÄS MER
5. 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