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Low power/high performance dynamic reconfigurable filter-design
(Master thesis, 2008)The main idea behind this thesis was to optimize the multipliers in a finite impulse response (FIR) filter. The project was chosen because digital filters are very common in digital signal processing and is an exciting ... -
Low Voltage Logic and Memories on Silicon
(Doctoral theses at NTNU;2021:161, Doctoral thesis, 2021)Data centers, sensor nodes in the internet of things, and handheld devices are all systems that require energy efficiency and low power operation to reduce electricity cost, fit within power budgets of energy harvesters, ... -
Low-Complexity Energy Detection for Spatial Modulation
(Peer reviewed; Journal article, 2022)In this paper, we present a non-coherent spatial modulation (SM) detection scheme appropriate for low-cost low-powered devices, where channel knowledge is restricted to the magnitude of the fading gains. We first derive a ... -
Low-Cost FPU: Specification, Implementation and Verification
(Master thesis, 2010)This report aims to provide a complete specification of an IEEE-754 1985 compliantdesign, as well as a working, synthesizable implementation in Verilog HDL. Thereport is based on a preliminary project, which analyzed the ... -
Low-Cost MemBIST for Micro-Controllers
(Master thesis, 2012)The challenge of testing SRAM memories consists in providing realistic fault models and test solutions with minimal application time. While classical memory tests cover the static faults, they are not sufficient to cover ... -
Low-energy properties of electrons and holes in CuFeS2
(Peer reviewed; Journal article, 2022)The antiferromagnetic semiconductor CuFeS2 belongs to a magnetic symmetry class that is of interest for spintronics applications. In addition, its crystal lattice is compatible with Si, making it possible to integrate it ... -
Low-energy pyroelectric motion detection
(Master thesis, 2023)Eksisterende løsninger for bevegelsesdeteksjon har et høyt energikonsum, hvilket gjør dem mindre egnet til IoT (Tingenes internett) applikasjoner. Denne masteroppgaven beskriver en ny alternativ måte å måle signalet, med ... -
Low-parameter linear model to activate the flexibility of the building thermal mass in energy system optimization
(Peer reviewed; Journal article, 2023)As buildings are becoming an integrated part of the energy system, the potential activation of the thermal mass as a source of flexibility needs to be considered in energy system modeling. Since energy system models represent ... -
Low-Power Analog-to-Digital Converter Design for In-Probe Ultrasound Imaging Systems
(Doctoral theses at NTNU;2017:152, Doctoral thesis, 2017)The advanced CMOS technology promotes the developments of more portable and efficient ultrasound systems with improved image performance and increased functionality over past several years. An analog-to-digital converter ... -
A Low-power and Low-noise Multi-purpose Chopper Amplifier with High CMRR and PSRR
(Chapter, 2020)In this article, by choosing and optimizing suitable structure in each stage, we have designed a multi-purpose low noise chopper amplifier. The proposed neural chopper amplifier with high CMRR and PSRR is suitable for EEG, ... -
Low-Power Circuit Designs for In-Probe Ultrasound Imaging Applications
(Doctoral thesis at NTNU;2015:213, Doctoral thesis, 2015)The main motivation behind the work in this thesis is to develop analog modules suitable for in-probe ultrasound imaging applications. The area and power are the main concerns for these applications given the limited area ... -
A Low-power High-gain Inverter Stacking Amplifier with Rail-to-Rail Output
(Chapter, 2021)In this article, a rail-to-rail low-power amplifier is presented based on stacking inverter-based amplifiers. The output voltages of each inverter-based amplifier are converted to a current and then mirrored to the output ... -
Low-power microcontroller core
(Master thesis, 2009)Energy efficiency in embedded processors is of major importance in order to achieve longer operating time for battery operated devices. In this thesis the energy efficiency of a microcontroller based on the open source ZPU ... -
Low-Power Neuromorphic Sound Source Localization
(Master thesis, 2021)I denne hovedoppgaven presenterer vi et neuromorft system for lydkildelokalisering basert på Jeffress sin lokaliseringsmodell. Systemet bruker nevral spike-koding og asynkrone delay-linjer for a beregne krysskorrelasjonen ... -
Low-resource speech recognition - Exploring methods of improving performance
(Master thesis, 2020)Å lage et nøyaktig talegjenkjenningssystem som generaliserer tilstrekkelig er ingen lett oppgave. Begrensede mengder med transkribert taledata kompliserer dette ytterligere, ettersom systemene krever store mengder treningsdata ... -
Low-resource speech recognition - Exploring methods of improving performance
(Master thesis, 2020)Å lage et nøyaktig talegjenkjenningssystem som generaliserer tilstrekkelig er ingen lett oppgave. Begrensede mengder med transkribert taledata kompliserer dette ytterligere, ettersom systemene krever store mengder treningsdata ... -
LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution
(Peer reviewed; Journal article, 2023)Low-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. ... -
LSPR and Interferometric Sensor Modalities Combined Using a Double-Clad Optical Fiber
(Journal article; Peer reviewed, 2018)We report on characterization of an optical fiber-based multi-parameter sensor concept combining localized surface plasmon resonance (LSPR) signal and interferometric sensing using a double-clad optical fiber. The sensor ... -
LSPR Coupling and Distribution of Interparticle Distances between Nanoparticles in Hydrogel on Optical Fiber End Face
(Journal article; Peer reviewed, 2017)We report on a new localized surface plasmon resonance (LSPR)-based optical fiber (OF) architecture with a potential in sensor applications. The LSPR-OF system is fabricated by immobilizing gold nanoparticles (GNPs) in a ... -
Lungs and Lobes Semantic Segmentation in Mediastinal CT Scans Using 3D Convolutional Neural Networks
(Master thesis, 2020)Pulmonal CT-bildeanalyse er en viktig del av vurderingen og behandlingsplanleggingen av forskjellige lungesykdommer. Metoden krever ofte at lungene skilles fra de omkringliggende strukturene, en prosess kjent som ...