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This paper addresses the hybrid quantized signal detection problem in a distributed radar system, where widely separated antennas transmit low-bit quantized data with varying quantization levels depending on the different bandwidth constraint for each channel to a fusion center. To enable a high detection performance with such hybrid quantized data, we formulate the generalized likelihood ratio, R
In this work, a computationally efficient evolutionary algorithm is proposed for estimating the direction of arrival (DOA) of coherently distributed (CD) sources corrupted by additive impulsive noise. The typical method, such as distributed signal parameter estimation (DSPE) method, requires a 2-D spectral peak search and cannot allow for coherent signals. The proposed method in this article uses
In this paper we present methods for triangulation of infinite cylinders from image line silhouettes. We show numerically that linear estimation of a general quadric surface is inherently a badly posed problem. Instead we propose to constrain the conic section to a circle, and give algebraic constraints on the dual conic, that models this manifold. Using these constraints we derive a fast minimal
In this paper we propose minimal solvers for relative pose estimation for two views of the projected silhouettes of two 3D cylinders. Using such line features instead of the standard point feature correspondences means more stable information (i.e. more stable to lighting condition, seasons, changes in environment etc.). Such features also lead to more compact and semantically interpretable repres
We present novel approaches involving generative adversarial networks and diffusion models in order to synthesize high-quality, live, and spoof fingerprint images while preserving features such as uniqueness and diversity. We generate live fingerprints from noise with a variety of methods, and we use image translation techniques to translate live fingerprint images to spoof. To generate different
Natural aerosol feedbacks are expected to become more important in the future, as anthropogenic aerosol emissions decrease due to air quality policy. One such feedback is initiated by the increase in biogenic volatile organic compound (BVOC) emissions with higher temperatures, leading to higher secondary organic aerosol (SOA) production and a cooling of the surface via impacts on cloud radiative p
Representing detailed atmospheric aerosol processes in global Earth system models (ESMs) has proven to be challenging from both a computational and a parameterization perspective. The representation of secondary organic aerosol (SOA) formation and new particle formation (NPF) in large ESMs is generally constructed with low detail to save computational costs. The simplification could result in losi
The standard approach for visual place recognition is to use global image descriptors to retrieve the most similar database images for a given query image. The results can then be further improved with re-ranking methods that re-order the top scoring images. However, existing methods focus on re-ranking based on the same image descriptors that were used for the initial retrieval, which we argue pr
The problem of echo separation using digital beamforming (DBF) on receive for multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is of notable importance to allow for practical systems. Regrettably, current DBF-MIMO-SAR schemes, such as the short-term shift-orthogonal (STSO) scheme, are computationally cumbersome, increasing the required hardware complexity. To alleviate this pro
In this paper, we focus on the design of the transmit waveforms of a frequency diverse array (FDA) in order to improve the output signal-to-interference-plus-noise ratio (SINR) in the presence of signal-dependent mainlobe interference. Since the classical multi-carrier matched filtering-based FDA receiver cannot effectively utilize the waveform diversity of FDA, a novel FDA receiver framework base
This paper considers the problem of jointly designing the transmit waveforms and weights for a frequency diverse array (FDA) in a spectrally congested environment in which unintentional spectral interferences exist. Exploiting the properties of the interference signal induced by the processing of the multi-channel mixing and low-pass filtering FDA receiver, the interference covariance matrix struc
In this paper, we argue that modern pre-integration methods for inertial measurement units (IMUs) are accurate enough to ignore the drift for short time intervals. This allows us to consider a simplified camera model, which in turn admits further intrinsic calibration. We develop the first-ever solver to jointly solve the relative pose problem with unknown and equal focal length and radial distort
This paper is concerned with a recently proposed scalable protocol for vehicle platooning, known as the serial consensus protocol. This achieves coordination of second-order integrator systems through a series connection of first-order conventional consensus protocols, and has been theoretically shown to have advantageous stability and performance properties. We implement this protocol on a vehicl
We propose a method for estimating the 3D position of a target point, given multiple measurements of it, using mm-wave radar data. Given azimuth headings and range estimates from posed radar positions, we find the 3D position, using an approximate, but geometrically and statistically meaningful cost. The 3D position is found in an optimal way, using this approximate cost. By deriving the Lagrangia
We perform a validation analysis on the multipolar model of opinion dynamics. A general methodology for using the model on datasets of two correlated variables is proposed and tested using data on the relationship between COVID-19 vaccination rates and political participation in Sweden. The model is shown to successfully capture the opinion segregation demonstrated by the data and spatial correlat
Business & IT alignment (BIA) är ett komplext ämne som har studerats i över trettio år och handlar om hur IT och verksamheten ska integreras. För att en organisation ska ha möjlighet att prestera på hög nivå är integrering av IT och verksamheten vitalt. The Strategic Alignment Model är en modell utformad på 90-talet för att beskriva vilka komponenter som är viktiga att beakta för att lyckas in
Den här artikeln är över 5 år gammal, och informationen kan därför vara inaktuell. För personer med psykisk ohälsa kan vägen till ett fungerande arbetsliv vara lång och krokig. En ny avhandling från Lunds universitet ringar in vad som krävs för att göra arbetslivet möjligt för personer med psykisk ohälsa: Hopp och tro på personens förmåga att arbeta. Att arbeta personcentrerat och öka kunskapen om
https://www.medicin.lu.se/artikel/tro-pa-personers-formaga-att-arbeta - 2026-05-20
Holding-B.V.-letter-template CALL TO ACTION Call for Proposals for 2019 /2020 Climate Action: Transformation, in time Call to Action Announcement: Call for Proposals for 2019 and 2020 EIT Climate-KIC launched a new Strategy – Transformation, In Time - in December 2018. It says that: ‘continuing to work through gradual, incremental changes will not be enough [to successfully tackle climate change].
https://www.climate-kic.lu.se/sites/climate-kic.lu.se/files/eit-climate-kic-call-to-action-1.pdf - 2026-05-20
