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A mm-Wave Differential-to-Quadrature Frequency Tripler with Automatic Locking and Quadrature Correction

This paper presents an injection-locked frequency tripler for 28-GHz direct-conversion transceivers, which takes a differential input and outputs a quadrature signal. A feedback system is added to ensure that lock occurs and to keep the quadrature error below 1° across operating frequencies and process corners. Simulations show that the tripler can cover the entire 24-30 GHz band across all corner

Symbolic neural networks for automated covariate modeling in a mixed-effects framework

Mixed-effects models are used to describe the inter-patient variability in drugs. Modeling of these variabilities include both fixed and random effects. Fixed effects relate covariates such as age and weight to compartment volumes and clearances, whereas random effects account for unexplained variability. Traditionally, the development of fixed effects models is an inefficient process where covari

Linear-quadratic level control for flotation through reinforcement learning

In the mining industry, flotation is a commonly used process to separate valuable minerals from waste rock in a concentrator. The rougher flotation is the first stage of the process and in Boliden AB’s concentrator at Aitik, it consists of two lines of four flotation cells each. In this paper we consider one line and the buffer tank upstream of it. Modeling this process step, and maintaining an up

Experimental analysis of physical interacting objects of a building at mmWave frequencies

Understanding the evolution of multipath components (MPCs) in real radio channels is crucial to enhancing channel modeling and multipath-assisted positioning. This paper provides an experimental analysis of the behavior of MPCs originating from a standard building facade at millimeter wave (mmWave) frequencies. Utilizing a high-resolution channel parameter estimation method alongside a joint clust

A 12-bit High-Speed Time-Interleaved Pipelined Asynchronous Successive-Approximation ADC in 22-nm FDSOI CMOS

A 12-bit time-interleaved (TI) analog-to-digital converter (ADC) with pipelined successive-approximation (SAR) channels is presented in this paper. The ADC consists of four TI channels, each incorporating a two-stage pipelined asynchronous SAR ADC. To facilitate clock distribution, a common bootstrapped sampler in front of the four channels is employed. The reset switch in the capacitive digital-t

Error Propagation Mitigation in Sliding Window Decoding of Spatially Coupled LDPC Codes

In this paper, we investigate the problem of decoder error propagation for spatially coupled low-density parity-check (SC-LDPC) codes with sliding window decoding (SWD). This problem typically manifests itself at signal-to-noise ratios (SNRs) close to capacity under low-latency operating conditions. In this case, infrequent but severe decoder error propagation can sometimes occur. To help understa

Stochastic Geometry Analysis of a New GSCM with Dual Visibility Regions

The geometry-based stochastic channel models (GSCM), which can describe realistic channel impulse responses, often rely on the existence of both local and far scatterers. However, their visibility from both the base station (BS) and mobile station (MS) depends on their relative heights and positions. For example, the condition of visibility of a scatterer from the perspective of a BS is different

Asynchronous vs Synchronous SAR ADCs - Performance Beyond Nominal Speed

This paper presents a comparison between a Itl-bit asynchronous SAR (ASAR) ADC and a 10-bit synchronous SAR (SSAR) ADC, both designed and simulated in a 22-nm FDSOI CMOS process. To further support the simulation results, the ASAR ADC has also been fabricated and measurements are pre-sented. As opposed to the abrupt SNDR collapse in the SSAR ADC, the SNDR of the ASAR ADC shows a more graceful deg-

Software analytics for software engineering: A tertiary review

Software analytics (SA) is frequently proposed as a tool to support practitioners in software engineering (SE) tasks. We have observed that several secondary studies on SA have been published. Some of these studies have overlapping aims and some have even been published in the same calendar year. This presents an opportunity to analyze the congruence or divergence of the conclusions in these studi

Learned Trajectory Embedding for Subspace Clustering

Clustering multiple motions from observed point trajectories is a fundamental task in understanding dynamic scenes. Most motion models require multiple tracks to estimate their parameters, hence identifying clusters when multiple motions are observed is a very challenging task. This is even aggravated for high-dimensional motion models. The starting point of our work is that this high-dimensionali

Characterization of Non-Wide-Sense Stationarity for Distributed Massive MIMO Channels

Distributed massive multiple-input multiple-output (MIMO) communication is envisioned as one of the key paradigms of future MIMO systems. To investigate non-wide-sense stationarities (non-WSSs) in distributed massive MIMO channels, this paper first presents an indoor channel measurement campaign, where distributed arrays with a total of 128 elements were implemented. Then relying on the correlatio

Making the Flow Glow - Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients

Modern robotic perception is highly dependent on neural networks.It is well known that neural network-based perception can be unreliable in real-world deployment,especially in difficult imaging conditions.Out-of-distribution detection is commonly proposed as a solution for ensuring reliability in real-world deployment.Previous work has shown that normalizing flow models can be used for out-of-dist

Compositional design for time-varying and nonlinear coordination

This work addresses the design of multi-agent coordination through high-order consensus protocols. While first-order consensus strategies are well-studied—with known robustness to uncertainties such as time delays, time-varying weights, and nonlinearities like saturations—the theoretical guarantees for high-order consensus are comparatively limited. We propose a compositional control framework tha

A comparative analysis of ML techniques for bug report classification

Several studies have evaluated various ML techniques and found promising results in classifying bug reports. However, these studies have used different evaluation designs, making it difficult to compare their results. Furthermore, they have focused primarily on accuracy and did not consider other potentially relevant factors such as generalizability, explainability, and maintenance cost. These two

Maternal and perinatal outcomes after implementation of a more active management in late- and postterm pregnancies in Sweden : A population-based cohort study

Background The risk of perinatal death and severe neonatal morbidity increases : gradually after 41 weeks of pregnancy. We evaluated maternal and perinatal outcomes after a national shift from expectancy and induction at 42+0 weeks to a more active management of late-term pregnancies in Sweden offering induction from 41+0 weeks or an individual plan aiming at birth or active labour no later than 4

Ray-tracing-assisted High-Resolution Parameter Estimation for Dynamic Millimeter-Wave Channels

An accurate description of the wireless channel is essential to the development of modern wireless systems. In order to mathematically model the propagation channel, one important prior step often done is high-resolution parameter estimation. The estimation accuracy of this step has a significant impact on how well the channel models can represent reality. In this paper, we address this by improvi

A Belief Propagation Algorithm for Multipath-Based SLAM with Multiple Map Features : A mmWave MIMO Application

In this paper, we present a multipath-based simultaneous localization and mapping (SLAM) algorithm that con-tinuously adapts mulitiple map feature (MF) models describing specularly reflected multi path components (MPCs) from flat surfaces and point-scattered MPCs, respectively. We develop a Bayesian model for sequential detection and estimation of interacting MF model parameters, MF states and mob

Circularly polarized sub-THz antenna design for distributed deployment

Sub-THz deployment is challenging due to high propagation losses, necessitating dense deployment. To reduce cost, RF signal can be distributed via plastic fiber to remote radio units to increase coverage area. In this paper, we propose an antenna-in-package concept for the single-layer substrate on low-cost embedded wafer level ball grid array (eWLB) packages. To suppress the distortion in the bro

NICER-SLAM : Neural Implicit Scene Encoding for RGB SLAM

Neural implicit representations have recently become popular in simultaneous localization and mapping (SLAM), especially in dense visual SLAM. However, existing works either rely on RGB-D sensors or require a separate monocular SLAM approach for camera tracking, and fail to produce high-fidelity 3D dense reconstructions. To address these shortcomings, we present NICER-SLAM, a dense RGB SLAM system

Millimeter-wave Scattering from Building Facade : A Simulation and Verification Study

This paper presents millimeter-wave scattering from a building facade predominantly composed of windows. These windows are integrated into the walls, forming dihedral structures that reflect waves toward the incident angle. The scattered field resulting from the building facade is simulated using the two-bounce Geometrical-Physics (GO) method. We analyze the channel in power loss and arrival angle