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Parametric Model-Based 2-D Autofocus Approach for General BiSAR Filtered Backprojection Imagery

The filtered backprojection (FBP) algorithm is viewed as a preferred candidate for general bistatic synthetic aperture radar (BiSAR) imaging since it does not pose any restrictions on SAR configurations or flight paths. However, high-efficient autofocus methods such as phase gradient autofocus (PGA) or Mapdrift (MD) cannot be effectively integrated with the FBP algorithm due to the unknown propert

Domes to drones : Self-supervised active triangulation for 3d human pose reconstruction

Existing state-of-the-art estimation systems can detect 2d poses of multiple people in images quite reliably. In contrast, 3d pose estimation from a single image is ill-posed due to occlusion and depth ambiguities. Assuming access to multiple cameras, or given an active system able to position itself to observe the scene from multiple viewpoints, reconstructing 3d pose from 2d measurements becomes

Extending GCC-PHAT using Shift Equivariant Neural Networks

Speaker localization using microphone arrays depends on accurate time delay estimation techniques. For decades, methods based on the generalized cross correlation with phase transform (GCC-PHAT) have been widely adopted for this purpose. Recently, the GCC-PHAT has also been used to provide input features to neural networks in order to remove the effects of noise and reverberation, but at the cost

The multitaper reassigned spectrogram for oscillating transients with Gaussian envelopes

Joint time-frequency representations are important tools when estimating the instantaneous frequency. The widely used spectrogram is known to have poor energy localisation, which the reassignment method improves. However, the reassignment method is sensitive to noise. In this paper we present a multitaper reassigned spectrogram (MTRS) that is robust to noise and tailored to short duration transien

Underwater source localization in the presence of strong interference

The underwater localization of a broadband target in the presence of strong interference and noise has been widely investigated. A novel clutter suppression approach based on oblique projections is proposed, exploiting the prior information of the expected target response. The method uses a generalised likelihood ratio formulation to select the oblique projection best matching the measured data. T

Rectification from radially-distorted scales

This paper introduces the first minimal solvers that jointly estimate lens distortion and affine rectification from repetitions of rigidly-transformed coplanar local features. The proposed solvers incorporate lens distortion into the camera model and extend accurate rectification to wide-angle images that contain nearly any type of coplanar repeated content. We demonstrate a principled approach to

Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project

Global fire-vegetation models are widely used to assess impacts of environmental change on fire regimes and the carbon cycle and to infer relationships between climate, land use and fire. However, differences in model structure and parameterizations, in both the vegetation and fire components of these models, could influence overall model performance, and to date there has been limited evaluation

FLIP: A Difference Evaluator for Alternating Images

Image quality measures are becoming increasingly important in the field of computer graphics. For example, there is currently a major focus on generating photorealistic images in real time by combining path tracing with denoising, for which such quality assessment is integral. We present FLIP, which is a difference evaluator with a particular focus on the differences between rendered images and co

Internet of Reliable Things: Toward D2D-enabled NB-IoT

A growing number of connected IoT devices makesit more and more difficult for the network to provide the desiredreliability in any deployment scenario. The advent of NB-IoTtechnology opens new possibilities for low-power long-range IoTapplications. However, the design of the standard introduces highbattery drainage in the situations when the radio conditionsbetween the UE and the eNB are poor. Dev

Modeling DRX for D2D Communication

Discontinuous Reception (DRX) has been included in 4G-LTE as the main power saving mechanism for User Equipment (UE). However, the existing 3-state DRX model is not sufficient for new use cases introduced by 4G and 5G. For example, the device discovery process in Device to Device (D2D) communication has a significant impact on delay and power consumption, but the existing conventional 3-state DRX

Resilience through multicast – An optimization model for multi-hop wireless sensor networks

In this paper we study resilience of TDMA-based wireless sensor networks to node failures. We investigate exploiting mutlicast routing for providing redundancy in the number of gateways used by data streams, so as to protect them against gateway failures. To do this, we develop an optimization model aiming at packet traffic throughput maximization composed of three mixed-integer programming proble

SDN Access Control for the Masses

The evolution of Software-Defined Networking (SDN) has so far been predominantly geared towards defining and refining the abstractions on the forwarding and control planes. However, despite a maturing south-bound interface and a range of proposed network operating systems, the network management application layer is yet to be specified and standardized. It has currently poorly defined access contr

Providing a Child with a Family, Not a Family with a Child - A Study in the ECtHR Case Law Regarding the Right to Adopt for Homosexual Persons from a Child's Rights Perspective

Bilden av den traditionella kärnfamiljen som enbart ett heterosexuellt gift par med barn ifrågasätts allt mer och andra familjekonstellationer blir allt vanligare. I detta kan vi se att homosexuella personers relationer och familjer har lyfts fram mer och mer och tidigare fördomar om dessa tolereras i mindre grad. Denna förändring i attityd sker dock i olika takt runtom i Europa, vilket gör EuropaThe traditional family as a heterosexual married couple with children is a norm that is increasingly being questioned and other family constellations are getting more common. In this context the relations and families of homosexual persons are being highlighted and prejudices against them are less tolerated. This change of attitude is occurring at different rates around Europe, which renders the t

Political Theologies at the End of the World

This article engages critically with one of the more original and thought-provoking efforts of recent years to respond philosophically to the current predicament of the world: Thomas Lynch’s 2019 study Apocalyptic Political Theology. While agreeing with Lynch that the urgency of our times calls for more radical approaches than cautious dialogue or reformist adaptation, it nonetheless argues that a

A Time-Adaptive Multirate Quasi-Newton Waveform Iteration for Coupled Problems

We consider waveform iterations for dynamical coupled problems, or more specifically, PDEs that interact through a lower-dimensional interface. We want to allow for the reuse of existing codes for the subproblems, called a partitioned approach. To improve computational efficiency, different and adaptive time steps in the subsolvers are advisable. Using so-called waveform iterations in combination

Technical note : General formulation for the distribution problem - prognostic assumed probability density function (PDF) approach based on the maximum-entropy principle and the Liouville equation

A general formulation for the distribution problem is presented, which is applicable to frequency distributions of subgrid-scale variables and hydrometeor size distributions, as well as to probability distributions characterizing data uncertainties. The general formulation is presented based upon two well-known basic principles: the maximum-entropy principle and the Liouville equation. The maximum

A Jacobian-free Multigrid Preconditioner for Discontinuous Galerkin Methods Applied to Atmospheric Flows

Discontinuous Galerkin (DG) methods are promising high order discretizations for unsteady compressible flows. Here, we focus on Numerical Weather Prediction (NWP). These flows are characterized by a fine resolution in z-direction and low Mach numbers, making the system stiff. Thus, implicit time integration is required and for this a fast, highly parallel, low-memory iterative solver for the resul