In this paper, we introduce a novel framework for semi-parametric estimation of an unknown number of signals, each parametrized by a group of components. Via a reformulation of the covariance fitting criteria, we formulate a convex optimization problem over a grid of candidate representations, promoting solutions with only a few active groups. Utilizing the covariance fitting allows for a hyperpar

Application performance on these processor array platforms is highly sensitive to how functionality is physically placed on the device, as this choice crucially determines communication latencies and congestion patterns of the on-chip inter-core communication. The problem of identifying the best, or just a good enough, partitioning and placement does not, in general, admit to an analytic solution,

In metastatic colorectal cancer (mCRC) chemotherapy +/- targeted therapy with palliative intent aims at prolonging survival with sustained quality of life. Maintenance of tumour response by a period of less intense treatment maydelay progression and accumulation of unacceptable toxicity. We studied the combination of targeted treatment with the angiogenesis inhibiting antibody bevacizumab (bev) an

Denna rapport sammanfattar resultaten av forskningsprogrammet ”Det tidiga klosterväsendet och den antika bildningen”, som pågick åren 2009-2015. Rapporten är författad av programmets forskningsledare Samuel Rubenson, men bygger på det omfattande arbete som gjorts av programmets olika forskare: Elin Andersson, Anahit Avagyan, Jesper Blid Kullberg, Karin Kulneff-Eriksson, Britt Dahlman, Bo Holmberg,

Indirect and direct learning architectures are the two main parameter identification approaches for digital predistortion systems. While the indirect scheme is less complex, its inherent shortcomings are avoided by the direct learning approach. Trying to answer the question whether this advantage of the direct approach can be exploited in terms of measurable linearization-performance improvement i

The growing complexity of digital signal processing applications make a compelling case the use of high-level design and synthesis methodologies for the implementation on reconfigurable and embedded devices. Past research has shown that raising the level of abstraction of design stages does not necessarily gives penalties in terms of performance or resources. Dataflow programs provide behavioral d

Angiogenesis is a hallmark of cancer and is now a validated therapeutic target in the clinical setting. Despite the initial success, anti-angiogenic compounds impinging on the vascular endothelial growth factor (VEGF) pathway display limited survival benefits in patients and resistance often develops due to activation of alternative pathways. Thus, finding and validating new targets is highly warr

Here we hypothesized that exercise in dihydrotestosterone (DHT) or letrozole (LET)-induced polycystic ovary syndrome mouse models improves impaired insulin and glucose metabolism, adipose tissue morphology, and expression of genes related to adipogenesis, lipid metabolism, Notch pathway and browning in inguinal and mesenteric fat. DHT-exposed mice had increased body weight, increased number of lar