662 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of PotsdamDE34 papers
- University of HelsinkiFI26 papers
- Aalto UniversityFI23 papers
- Tampere UniversityFI18 papers
- Centre National de la Recherche ScientifiqueFR17 papers
- Northeastern UniversityUS17 papers
- University of JyväskyläFI14 papers
- Brown UniversityUS13 papers
- Technical University of MunichDE13 papers
- Aarhus UniversityDK12 papers
- Helsinki Institute of PhysicsFI10 papers
- Charles UniversityCZ9 papers
47 papers · 1 filter
Digital Cancellation of Passive Intermodulation in FDD Transceivers
Muhammad Zeeshan Waheed, Pablo Pascual Campo, Dani Korpi +3
Modern radio systems and transceivers utilize carrier aggregation (CA) to meet the demands for higher and higher data rates. However, the adoption of CA in the existing Long Term E…
Digital Predistortion in Large-Array Digital Beamforming Transmitters
Alberto Brihuega, Lauri Anttila, Mahmoud Abdelaziz +1
In this article, we propose a novel digital predistortion (DPD) solution that allows to considerably reduce the complexity resulting from linearizing a set of power amplifiers (PAs…
Empirical Effects of Dynamic Human-Body Blockage in 60 GHz Communications
Christopher Slezak, Vasilii Semkin, Sergey Andreev +2
The millimeter wave (mmWave) bands and other high frequencies above 6~GHz have emerged as a central component of Fifth-Generation (5G) cellular standards to deliver high data rates…
PAC it up: Towards Pointer Integrity using ARM Pointer Authentication
Hans Liljestrand, Thomas Nyman, Kui Wang +3
Run-time attacks against programs written in memory-unsafe programming languages (e.g., C and C++) remain a prominent threat against computer systems. The prevalence of techniques…
Microservices, Continuous Architecture, and Technical Debt Interest: An Empirical Study
Valentina Lenarduzzi, Davide Taibi
Continuous Architecture (CA) is an approach that supports companies in decreasing the time between deliveries. Migration to microservices is one of the most common situations when…
DGC-Net: Dense Geometric Correspondence Network
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler +3
This paper addresses the challenge of dense pixel correspondence estimation between two images. This problem is closely related to optical flow estimation task where ConvNets (CNNs…
Dictionary Learning Phase Retrieval from Noisy Diffraction Patterns
Joshin P. Krishnan, José M. Bioucas-Dias, Vladimir Katkovnik
This paper proposes a novel algorithm for image phase retrieval, i.e., for recovering complex-valued images from the amplitudes of noisy linear combinations (often the Fourier tran…
Effects of pyrolysis temperature on the hydrologically relevant porosity of willow biochar
Jari Hyväluoma, Markus Hannula, Kai Arstila +3
Biochar pore space consists of porosity of multiple length scales. In direct water holding applications like water storage for plant water uptake, the main interest is in micrometr…
(16) Psyche: A mesosiderite-like asteroid?
M. Viikinkoski, P. Vernazza, J. Hanus +35
Asteroid (16) Psyche is the target of the NASA Psyche mission. It is considered one of the few main-belt bodies that could be an exposed proto-planetary metallic core and that woul…
Elastic Neural Networks for Classification
Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya +1
In this work we propose a framework for improving the performance of any deep neural network that may suffer from vanishing gradients. To address the vanishing gradient issue, we s…
Mimicking complex dislocation dynamics by interaction networks
Henri Salmenjoki, Mikko J. Alava, Lasse Laurson
Two-dimensional discrete dislocation models exhibit complex dynamics in relaxation and under external loading. This is manifested both in the time-dependent velocities of individua…
Optical frequency comb photoacoustic spectroscopy
Ibrahim Sadiek, Tommi Mikkonen, Markku Vainio +2
We report the first photoacoustic detection scheme using an optical frequency comb - the optical frequency comb photoacoustic spectroscopy (OFC-PAS). OFC-PAS combines the broad spe…
Engineering of Chern insulators and circuits of topological edge states
Emma L. Minarelli, Kim Pöyhönen, Gerwin A. R. van Dalum +2
Impurities embedded in electronic systems induce bound states which under certain circumstances can hybridize and lead to impurity bands. Doping of insulators with impurities has b…
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data
Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis +5
Forecasting the movements of stock prices is one the most challenging problems in financial markets analysis. In this paper, we use Machine Learning (ML) algorithms for the predict…
Transparent Tx and Rx Waveform Processing for 5G New Radio Mobile Communications
Toni Levanen, Juho Pirskanen, Kari Pajukoski +2
Several different waveform processing techniques have been studied and proposed for the 5G new radio (NR) physical layer, to support new mixed numerology and asynchronous services.…
On the control of Rydberg state population with realistic femtosecond laser pulses
Janne Solanpää ja Esa Räsänen
We investigate computationally a method for ultrafast preparation of alkali metal atoms in their Rydberg states using a three-dimensional model potential in the single active elect…
Less is more - enhancement of second-harmonic generation from metasurfaces by reduced nanoparticle density
Robert Czaplicki, Antti Kiviniemi, Mikko J. Huttunen +7
We investigate optical second-harmonic generation (SHG) from metasurfaces where noncentrosymmetric V-shaped gold nanoparticles are ordered into regular array configurations. In con…
Acoustic Scene Classification: A Competition Review
Shayan Gharib, Honain Derrar, Daisuke Niizumi +5
In this paper we study the problem of acoustic scene classification, i.e., categorization of audio sequences into mutually exclusive classes based on their spectral content. We des…
Classification of Building Information Model (BIM) Structures with Deep Learning
Francesco Lomio, Ricardo Farinha, Mauri Laasonen +1
In this work we study an application of machine learning to the construction industry and we use classical and modern machine learning methods to categorize images of building desi…
Binarized Convolutional Neural Networks for Efficient Inference on GPUs
Mir Khan, Heikki Huttunen, Jani Boutellier
Convolutional neural networks have recently achieved significant breakthroughs in various image classification tasks. However, they are computationally expensive,which can make the…
Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery
Konstantinos Drossos, Paul Magron, Stylianos Ioannis Mimilakis +1
Harmonic/percussive source separation (HPSS) consists in separating the pitched instruments from the percussive parts in a music mixture. In this paper, we propose to apply the rec…
ADVIO: An authentic dataset for visual-inertial odometry
Santiago Cortés, Arno Solin, Esa Rahtu +1
The lack of realistic and open benchmarking datasets for pedestrian visual-inertial odometry has made it hard to pinpoint differences in published methods. Existing datasets either…
Deep neural network based speech separation optimizing an objective estimator of intelligibility for low latency applications
Gaurav Naithani, Joonas Nikunen, Lars Bramsløw +1
Mean square error (MSE) has been the preferred choice as loss function in the current deep neural network (DNN) based speech separation techniques. In this paper, we propose a new…
Embedded Implementation of a Deep Learning Smile Detector
Pedram Ghazi, Antti P. Happonen, Jani Boutellier +1
In this paper we study the real time deployment of deep learning algorithms in low resource computational environments. As the use case, we compare the accuracy and speed of neural…