Search results for "FM"
showing 10 items of 626 documents
Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars
2021
Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the range and velocity of targets in their field of view (FoV). The targeted angle of arrival (AoA) estimation can be improved by increasing receiving antennas or by using multiple-input multiple-output (MIMO). However, obtaining target features such as target type remains challenging. In this paper, we present a novel target classification method based on machine learning and features extracted from a range fast Fourier transform (FFT) profile by using mmWave FMCW radars operating in the frequency range of 77–81 GHz. The measurements are carried out in a variety of realistic situations, including p…
Consistency of Independent Component Analysis for FMRI
2021
Background Independent component analysis (ICA) has been widely used for blind source separation in the field of medical imaging. However, despite of previous substantial efforts, the stability of ICA components remains a critical issue which has not been adequately addressed, despite numerous previous efforts. Most critical is the inconsistency of some of the extracted components when ICA is run with different model orders (MOs). New Method In this study, a novel method of determining the consistency of component analysis (CoCA) is proposed to evaluate the consistency of extracted components with different model orders. In the method, “consistent components” (CCs) are defined as those whic…
Tensor clustering on outer-product of coefficient and component matrices of independent component analysis for reliable functional magnetic resonance…
2019
Background. Stability of spatial components is frequently used as a post-hoc selection criteria for choosing the dimensionality of an independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data. Although the stability of the ICA temporal courses differs from that of spatial components, temporal stability has not been considered during dimensionality decisions. New method. The current study aims to (1) develop an algorithm to incorporate temporal course stability into dimensionality selection and (2) test the impact of temporal course on the stability of the ICA decomposition of fMRI data via tensor clustering. Resting state fMRI data were analyzed with two popu…
Augstas izšķirtspējas monitoru sienas simulācija
2018
Izmantojot augstas izšķirtspējas monitoru sienas risinājumus, to lietojamība ir atkarīga no piekļuves risinājuma aparatūrai. Specifisku lietotņu izstrādei, attēloto datu kopīgošanai u.c. darbībām monitoru sienas aparatūra nav nepieciešama un nereti nav pieejama. Šādās situācijās var izmantot simulācijas risinājumu, piedāvājot monitoru sienas funkcionalitāti virtuālā vidē un novēršot atkarību no aparatūras pieejamības. Darba mērķis ir izpētīt eksistējošas augstas izšķirtspējas monitoru sienas simulācijas iespējas un izstrādāt bāzlīniju tālākiem pētījumiem un izstrādei. Darbā analizēti līdzīgi risinājumi, simulācijas realizācija, problēmu apgabali un attīstības iespējas. Darba galvenais rezul…
Brev fra Norge : Hvordan opplever høyutdannete arbeidsinnvandrere nordmenn, og især når de forsøker å skape vennskap utenom jobb med dem
2017
Masteroppgave velferdsstudier ME509 - Universitetet i Agder 2017 Formålet med denne oppgaven er å få en forståelse for de som kommer til Norge, samtidig å tilby norske lesere å se hvordan «de andre» ser dem som vert og hvordan det er å velge å være gjest på et sted som de har valgt å kalle «et hjem». Fokuset er å belyse både hvordan de opplever og hvordan de håndterer ulike situasjoner de kommer opp i. Hvor lett eller vanskelig er å tilpasse seg til nye rammer og nytt liv her? I oppgaven har jeg valgt å anvende teoriene til Erving Goffman og Berger & Luckmann for å få frem ulike momenter fra kommunikasjonen i møter mellom nordmenn og denne gruppen slik sistnevnte gruppe ser det. Dette vil o…
The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoenc…
2022
Funding Information: This work was financially supported by the Academy of Finland (Finnish Center of Excellence in Computational Inference Research COIN and grants #292334, #294238 to SK; #255349, #315553 to RS; #257576 to JK; #286405 funding for TM), the Sigrid Jusélius Foundation (grant to RS), the Finnish Cultural Foundation (grant to ML), the Swedish Cultural Foundation in Finland (grant to ML), the Maud Kuistila Memorial Foundation (grant to ML), and Aalto Brain Center. Publisher Copyright: Copyright © 2022 Mononen, Kujala, Liljeström, Leppäaho, Kaski and Salmelin. Different neuroimaging methods can yield different views of task-dependent neural engagement. Studies examining the relat…
Head direction signals during navigation: comparing movement and stationary periods: Poster
2021
Head direction signals during navigation: comparing movement and stationary periods: Oral presentation
2021
Spatial Cognition 2020/1: Book of abstracts : August 2-4, 2021, University of Latvia
2021
Spatial Cognition is concerned with the acquisition, development, representation, organization, and use of knowledge about spatial objects in real, virtual or hybrid environments and processed by human or artificial agents. Spatial Cognition includes research from different fields insofar as they are concerned with cognitive agents and space, such as cognitive and developmental psychology, linguistics, computer science, geography, cartography, philosophy, neuroscience, and education. Research issues in the field range from the investigation of human spatial cognition to mobile robot navigation, including topics such as wayfinding, spatial planning, spatial learning, internal and external re…
On application of kernel PCA for generating stimulus features for fMRI during continuous music listening
2018
Background There has been growing interest towards naturalistic neuroimaging experiments, which deepen our understanding of how human brain processes and integrates incoming streams of multifaceted sensory information, as commonly occurs in real world. Music is a good example of such complex continuous phenomenon. In a few recent fMRI studies examining neural correlates of music in continuous listening settings, multiple perceptual attributes of music stimulus were represented by a set of high-level features, produced as the linear combination of the acoustic descriptors computationally extracted from the stimulus audio. New method fMRI data from naturalistic music listening experiment were…