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Impulsive noise is one of the most challenging forms of interference in an underwater acoustic environment. In this paper, we present an underwater acoustic channel deconvolution method based on a sparse representation framework. The application of the method enables a channel impulse response reconstruction that is robust to impulsive noise. By exploiting the inherent structure in the channel res
Activation functions play a central role in deep learning since they form an essential building stone of neural networks. In the last few years, the focus has been shifting towards investigating new types of activations that outperform the classical Rectified Linear Unit (ReLU) in modern neural architectures. Most recently, rational activation functions (RAFs) have awakened interest because they w
Many hand-held or mixed reality devices are used with a single sensor for 3D reconstruction, although they often comprise multiple sensors. Multi-sensor depth fusion is able to substantially improve the robustness and accuracy of 3D reconstruction methods, but existing techniques are not robust enough to handle sensors which operate with diverse value ranges as well as noise and outlier statistics
The phase gradient autofocus (PGA) is a robust autofocusing approach that can efficiently refocus defocused synthetic aperture radar (SAR) imagery produced by frequency-domain algorithms. However, from a conventional viewpoint, PGA cannot be extended to refocus SAR imagery produced by time-domain algorithms, such as the filtered backprojection (FBP), as the spectrum of the FBP imagery is range amb
Properties of the Grain-128AEAD key re-introduction, as part of the cipher initialization, are analyzed and discussed. We consider and analyze several possible alternatives for key re-introduction and identify weaknesses, or potential weaknesses, in them. Our results show that it seems favorable to separate the state initialization, the key re-introduction, and the A/R register initialization into
Weaknesses in the Grain-128AEAD key re-introduction, as part of thecipher initialization, are analyzed and discussed. We consider and analyzeseveral possible alternatives for key re-introduction and identify weaknesses, or potential weaknesses, in them. Our results show that it seemsfavorable to separate the state initialization, the key re-introduction, andthe A/R register initialization into thr
In compressed sensing a sparse vector is approximately retrieved from an underdetermined equation system Ax = b. Exact retrievalwouldmean solving a large combinatorial problem which is well known to be NP-hard. For b of the form Ax0 + ϵ, where x0 is the ground truth and ϵ is noise, the 'oracle solution' is the one you get if you a priori know the support of x0, and is the best solution one could h
Decision-makers and managers spend substantial amounts of funding everyday on various interventions aimed at management of the large carnivores, for example different measures to mitigate depredation on livestock, e.g., removal of carnivores and fencing of livestock (see Linnell et al. 1996 for an extensive review). Management of species that occur in low numbers is challenging as relatively small
Task-level industrial robot programming is a mundane, error-prone activity requiring expertise and skill. Since humans easily communicate with natural language (NL), it may be attractive to use speech or text as instruction means for robots. However, there has to be a substantial amount of knowledge in the system to translate the high-level language instructions to executable robot programs. In th
This thesis explores methods for generating proposition databases in a large-scale and multilingual setting. Our methods are centered on using semantic role labeling for extracting predicate-argument structures, and the subsequent transformation of such structures for knowledge base population and generation. By extending semantic role labeling with entity detection, we demonstrate how predicate-a
Syftet med denna uppsats är att belysa och problematisera diskussionen kring straffbarhetsålderns lämplighet. Syftet innefattar även att utreda om straffbarhetsåldern är ändamålsenligt satt. Sedan år 1902 har Sverige haft en absolut straffbarhetsålder på femton år men åldern har tidigare än så varit lagstadgad runt femton år även om undantag har funnits. Att barn som begår brott inte ska straffasThis essay aims to highlight and frame the discussion of the age of criminal responsibility. This also involves an investigation as to whether the age of criminal responsibility in Sweden is appropriate and contemporary. Since 1902, Sweden has had an absolute age of criminal responsibility of fifteen years old, subject to some exceptions. This outlines that it is not a new regulation that child o
The class of information set decoding algorithms is the best known way of decoding general codes, i.e. codes that admit no special structure, in the Hamming metric. Stern's algorithm is the origin of the most efficient algorithms in this class. In this paper we consider the same decoding problem but for a channel with soft information. We give a version of Stern's algorithm for a channel with soft
High resolution radio based positioning and tracking is a key enabler for new or improved cellular services. In this work, we are aiming to track user movements with accuracy down to centimeters using standard cellular bandwidths of 20-40 MHz. The goal is achieved by using phase information from the multi-path components (MPCs) of the radio channels. First, an extended Kalman filter (EKF) is used
Extreme environmental events such as Heat Waves (HWs), cold waves, and droughts intensified by climate change are increasingly associated with adverse health outcomes. In this study, investigation of the extreme temperature across Uttar Pradesh (U. P.), one of India’s largest and densely populate states has been done. Using high-resolution climate data from the Providing REgional Climates for Impa
Research article 2928 The Journal of Clinical Investigation http://www.jci.org Volume 122 Number 8 August 2012 Identification of embryonic stem cell–derived midbrain dopaminergic neurons for engraftment Yosif M. Ganat,1,2,3 Elizabeth L. Calder,1,2,3 Sonja Kriks,1,2 Jenny Nelander,4 Edmund Y. Tu,1,2,5 Fan Jia,6 Daniela Battista,1,7 Neil Harrison,6 Malin Parmar,4 Mark J. Tomishima,1,2,5 Urs Rutishau
https://www.regenerative-neurobiology.lu.se/sites/regenerative-neurobiology.lu.se/files/jci58767.pdf - 2026-05-01
Reversion of β-Cell Autoimmunity Changes Risk of Type 1 Diabetes: TEDDY Study Reversion of b-Cell Autoimmunity Changes Risk of Type 1 Diabetes: TEDDY Study DOI: 10.2337/dc16-0181 OBJECTIVE b-Cell autoantibodies are a feature of the preclinical phase of type 1 diabetes. Here, we asked how frequently they revert in a cohort of children at risk for type 1 diabetes and whether reversion has any effect
https://www.teddy.lu.se/sites/teddy.lu.se/files/06212016_679_58_vehik_diab_care_2016_0.pdf - 2026-05-01
