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Landscape change across scale and time is a process characterized by loss and preservation, alongside both known and unknown gains and uncertainties. In this work, we navigate these complexities as we recount the layered history of Bungenäs, Sweden—a post-productive industrial landscape rich with stories of use. Drawing on the work of Bartolini and DeSilvey (2020;2018), we explore the concept of l
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
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 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
This paper develops a novel sparse direction-of-arrival (DOA) estimation technique that avoids the common requirement of hyperparameters, which are typically difficult to set suitably in practice. Using the presented minimum mean-square error (MMSE) estimation framework, we propose a computationally efficient super-resolution DOA estimator that is implemented using an alternate updating of the spa
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
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
Framväxten och övergången till en alltmer kunskapsbaserad ekonomi har de senaste decennierna omformat grunderna för arbete, möjligheter och politiska attityder i de flesta avancerade ekonomier. Mycket av den offentliga och akademiska debatten har i detta sammanhang betonat ökande regionala klyftor, växande ojämlikheter, ökad osäkerhet, minskad social rörlighet och i kölvattnet av detta också ett vThe transformation to the knowledge economy has reshaped the foundations of work, opportunity, and political sentiment across advanced democracies. Much of the public and academic debate has emphasized deepening regional divides, increasing inequalities, growing precarity, the erosion of upward mobility, and growing social discontent.This PhD thesis explores the geographies of low-income work in S
This paper provides a comprehensive overview of quantile-parameterized distributions (QPDs) as a tool for capturing expert predictions and parametric judgments. We survey a range of methods for constructing distributions that are parameterized by a set of quantile-probability pairs and describe an approach to generalizing them to enhance their tail flexibility. Furthermore, we explore the extensio
Understanding 3D human interactions is fundamental for fine-grained scene analysis and behavioural modeling. However, most of the existing models predict incorrect, lifeless 3D estimates, that miss the subtle human contact aspects–the essence of the event–and are of little use for detailed behavioral understanding. This paper addresses such issues with several contributions: (1) we introduce model
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
This thesis focuses on the languages of thought of multilingual students writing in English, a non-native language. The study examines which languages are used as languages of thought and what functions these languages serve for year-9 students (age 15-16) in a Swedish high school while writing an essay in English under exam-like conditions. The study sheds detailed light on individual differences
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
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 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
With the aim to bridge the pressure gap between traditional surface science and industrial applications, heterogeneous catalytic reactions on model catalysts are increasingly studied at near-ambient pressures. Under those conditions, the gas phase has been shown to play an important role during the interaction at the gas-surface interface making it complex to study. This complexity can be captured
The present paper describes case studies where the purpose was to identify two unknown ancestors: the author’s paternal grandfather [FF] and his paternal grandmother’s maternal grandfather’s father [FMMFF]. A four-step method was used: (1) The author’s and his brother’s closest atDNA matches were identified, and the genealogical relationships to these matches were searched for by a comparison with
