Browsing Institutt for elektroniske systemer by Title
Now showing items 1748-1767 of 2289
-
A reconfigurable multi-mode implementation of hyperspectral target detection algorithms
(Peer reviewed; Journal article, 2020)Hyperspectral images obtained by imaging spectrometer contain a large data amount that requires techniques such as target detection for information extraction. The proposed multi-mode FPGA implementation combines matrix ... -
Reconstruction of Compressive Sensed Hyperspectral Images by Deep Convolutional Neural Network
(Master thesis, 2022)Hyperspectral Smallsat for Oacen Observation (HYPSO) er ein satellitt for jord observasjonar, meint for å detektera algar langs kysten av Noreg. Satellitten er bygd på CubeSat standarden, noko som gjer den liten og rimeleg ... -
Record thermopower found in an IrMn-based spintronic stack
(Peer reviewed; Journal article, 2020)The Seebeck effect converts thermal gradients into electricity. As an approach to power technologies in the current Internet-of-Things era, on-chip energy harvesting is highly attractive, and to be effective, demands thin ... -
Recovery of Independent Sparse Sources From Linear Mixtures Using Sparse Bayesian Learning
(Journal article; Peer reviewed, 2018)Classical algorithms for the multiple measurement vector (MMV) problem assume either independent columns for the solution matrix or certain models of correlation among the columns. The correlation structure in the previous ... -
Recovery of Linearly Mixed sparse Sources From Multiple Measurement Vectors Using l1 Minimization
(Chapter, 2018)Multiple measurement vector (MMV) enables joint sparse recovery which can be applied in wide range of applications. Traditional MMV algorithms assume that the solution has independent columns or correlation among the ... -
Recreating lab measurements as RTL stimulus
(Master thesis, 2019)Mesteparten av moderne IC verifikasjon utføres som RTL simuleringer. Imidlertid må de endelige verifikasjonstegene alltid gjennomføres på fysisk silisium. Hvis uventet oppførsel blir avdekket på dette stadiet, kan forståelse ... -
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction
(Chapter, 2021)Cervical cancer screening programs have reduced the incidence of cervical cancer, but suffer from over- and too infrequent screening as women’s risk of developing cervical cancer differs. Personalized risk prediction models ... -
Reduction of Power Consumption in Video Communication based on Low Frame Rate Transmission and Decoder Frame Interpolation
(Master thesis, 2011)In order to reduce the power consumption of an endoscope capsule transferring still-images over a wireless channel from inside human intestines to on-body receivers, the transmitted frame rate can be reduced in favor of ... -
Reduction of speckle contrast in HDTV laser projection display.
(Master thesis, 2008)Abstract In this thesis the focus has been on laser speckle. It is done in collaboration with poLight. They are developing a projector, where laser light is the source of illumination. In such projectors, laser speckle ... -
Reduction of speckle contrast in laser based HDTV projection displays
(Master thesis, 2007)In this assignment the theoretical background for the nature of speckle is presented and practical work was done to reduce the speckle effect in a display system based on a laser source. This was done without any picture ... -
Redusering av akustisk krysstale mellom kanaler i orkesteropptak ved bruk av adaptiv filtrering
(Master thesis, 2008)En blokk-basert LMS-algoritme implementert i frekvensdomenet ble brukt til adaptiv filtrering. Metoden som i hovedsak ble undersøkt gikk ut på først å estimere impulsresponsen mellom to mikrofoner ved hjelp av adaptiv ... -
Referansemålinger av frekvensresponsen til høytalerelementer med ulik form
(Master thesis, 2014)Formålet med masteroppgaven har vært å se nærmere på frekvensresponsen til en høytalerkasse med utskiftbare frontplater. En høytalerkasse laget av treplater med utskiftbare frontplater i aluminium har blitt realisert og ... -
Reference generator for a sub-nW 9-bit 1kSample/s asynchronous SAR-ADC in 22nm UTBB FDSOI
(Master thesis, 2022)Denne rapporten presenterer implementasjonen, samt simuleringsresultater til en referansegenerator for en sub-nW 9-bit 1kSample/s asynkron SAR-ADC i 22nm UTBB FDSOI. Rapporten bygger på arbeidet i spesialiseringsprosjektet, ... -
Reflectance of microwaves and millimetre waves in homogeneous and heterogeneous media with moisture and metal contents
(Master thesis, 2021)Denne masteroppgaven tar for seg mikrobølge og millimeterbølge interaksjon med jernpartikler og svamper som inneholder vann. Drude-modellen ble brukt til å beregne brytningsindeksen til jern for bølgelengder opp til 286 ... -
Regional Left Ventricular Fiber Stress Analysis for Cardiac Resynchronization Therapy Response
(Peer reviewed; Journal article, 2022)Cardiac resynchronization therapy (CRT) is an effective treatment for a subgroup of heart failure (HF) patients, but more than 30% of those selected do not improve after CRT implantation. Imperfect pre-procedural criteria ... -
Register file optimisation
(Master thesis, 2017)The increasing demand for low-power solutions and small area usage makes it necessary to explore power efficient solutions for critical parts of a system as the data storage in the register file. The register file is an ... -
Registration in hyperspectral and multispectral imaging
(Master thesis, 2017)Hyperspectral (HSI) and Multispectral (MSI) images consist of multiple images taken at different wavelengths (bands), often at different times. Analysis of these images require high accuracy of correlation between the ... -
Rekonstruksjon av ultralyd blodhastighetsfelter basert på Dyp Læring
(Master thesis, 2020)Ny forskning viser at avvik fra normal blodstrøm i venstre ventrikkel kan være et tidlig tegn på hjertesykdom. Nøyaktig screening av blodstrøm i venstre ventrikkel kan hjelpe leger å gi passende behandling til pasienter ... -
Relevance-based Channel Selection for EEG Source Reconstruction: An Approach to Identify Low-density Channel Subsets
(Chapter, 2022)Abstract: Electroencephalography (EEG) Source Reconstruction is the estimation of the underlying neural activity at cortical areas. Currently, the most accurate estimations are done by combining the information registered ... -
Reliability of piezoelectric microelectomecanical systems in humid conditions
(Doctoral theses at NTNU;2020:125, Doctoral thesis, 2020)Since its discovery, silicon-based microelectromechanical systems (MEMS) have had a significant impact on the technological development of sensors and actuators. Using piezoelectric materials deposited as thin-films on a ...