Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 32 for “"Signal Extraction"”.
-
Novel data-processing techniques for signal extraction in Project 8
Project 8 presents a new modality of electron spectroscopy with the potential to exceed the resolution of the most precise electron spectrometers in operation today, potentially at much lower cost. Project 8, being a novel method, has different computational demands from existing experiments. This …
-
Overloaded Array Processing: System Analysis, Signal Extraction Techniques, and Time-delay Estimation
… receiver faces the challenge of demodulating the signal of interest (SOI) in the presence of excessive amounts of Co-Channel Interference (CCI) from a large number of sources. This results in the overloaded environment where the number of near-equal power co-channel interferers exceeds the number …
-
From theoretical promise to observational reality : calibration, foreground subtraction, and signal extraction in hydrogen cosmology
… for calibration, foreground subtraction, and signal extraction in hydrogen cosmology. For tomographic hydrogen cosmology experiments, we explore a calibration algorithm known as redundant baseline calibration, extending treatments found in the existing literature to include rigorous …
-
Characteristics and usefulness of interfascicular contacts in peripheral nerve recording
… the challenge of extracting useful command signals fromnerves. A peripheral nerve interface is generally useful for signal extraction if it (1) exhibits favorable recording characteristics such as signal-to-noise ratio and (2) provides as many independent channels of neural information as …
-
A novel statistical signal processing approach for analysing high volatile expression profiles.
… is to introduce a new noise filtering and signal processing algorithm based on Singular Spectrum Analysis (SSA) for extracting the signal of bicoid gene. Using the proposed SSA algorithm which is based on the minimum variance estimator, the extraction of bcd signal from its noisy profile is …
-
Search the decay of the B meson to two leptons at the Belle Experiment
… thesis details procedures developed to optimize signal extraction and improve the upper limit on the measured branching fraction. When applied to 85 million BB events collected at the Belle experiment in Tsukuba, Japan, the resulting upper limits on branching fractions were 8.8×10⁻⁸ for B⁰ → …
-
Novel Approaches to Overloaded Array Processing
… array is overloaded when the number of cochannel signals in its operating environment exceeds the number of elements. Conventional space-time array processing for narrow-band signals fails in overloaded environments. Overloaded array processing (OLAP) is most difficult when signals impinging on …
-
Measurement of Neutral Mesons in p-Pb collisions at √sNN = 8.16TeV with the ALICE detector
… TeV using the photon conversion method for the signal extraction. This method uses the tracking and particle identification capabilities of the central barrel detectors of ALICE. Signal extracted down to 0.3 GeV/c and 0.7 GeV/c for π 0 and η respectively. The resulting spectra are presented and …
-
Looking for matter enhanced neutrino oscillations via day v. night asymmetries in the NCD phase of the Sudbury Neutrino Observatory
… downgoing neutrinos. This thesis focuses on the signal extraction part of this process, by which the neutrino fluxes are determined from the processed data by means of a Markov Chain Monte Carlo method. Recognizing that this effect is expected to have an energy dependence, the asymmetry is …
-
Extraction of Blood Volume Pulse Morphology from Facial Videos Using an LSTM-Based Temporal Encoder-Decoder Model
… a method for extracting blood volume pulse (BVP) signals from facial videos, moving beyond basic heart rate estimation to capture full pulse waveforms. Our approach adapts techniques from audio signal separation and applies them to video, using a machine learning model capable of processing …
-
Using machine learning for analysis of neuronal network activity
… models, heuristic filtering of pixels for signal extraction, and event detection using deconvolution. With these methods, we improve neuron detection performance, alter signal-to-noise ratio of extracted calcium signals, and allow for integration of methods that infer action potential …
-
Towards a New Model for Early Warning Signals for Systemic Financial Fragility and Near Crises: An Application to OECD Countries
… highlighted the failure of former early warning signals models. This research attributes this partly to dependent variable specification, independent variable specification, model empirical design, and looking at models in isolation (different empirical methodologies and macro and micro …
-
Computationally Intensive Methods for Spectrum Estimation
… to the development of new methods for detection signals and modeling periodic data. Within these methods there are open problems concerning parameter selection, signal detection rates, and signal estimation. The focus of this thesis is to address these problems by using techniques from …
-
Theoretical advancements and applications in singular spectrum analysis.
… associated with its superior filtering and signal extraction capabilities which also differentiates it from the classical time series methods. In brief, the SSA process consists of decomposing a time series for signal extraction and then reconstructing a less noisy series which is used for …
-
A Frequency Loss Driven Framework for Respiration Monitoring Using Depth-Sensing Cameras
… a deep learning framework tailored for breathing signal extraction and respiratory rate prediction solely from depth images. The proposed architecture combines a Convolutional Neural Network (CNN) for spatial feature extraction with a Long Short-Term Memory (LSTM) network to model temporal …
-
A search for tWZ production at the ATLAS experiment
… Graph neural networks were employed to perform signal-background discrimination. The signal strength of tWZ production µtWZ was extracted using a profile likelihood fit with a full systematic model describing experimental and modelling uncertainties. Blinded measurements of µtWZ are shown for …
-
Two-photon calcium imaging sequence Analysis Pipeline : a method for analyzing neuronal network activity
… methods for automatically identifying neurons, signal extraction, signal processing, event detection, feature extraction, and analysis. We run our ML pipeline on a dataset of two-photon calcium image sequences extracted by our team. This dataset includes two-photon calcium image sequences of …
-
Terahertz beam-steering imager using a scalable 2D-coupled architecture and multi- functional heterodyne pixels
… 140 GHz local oscillation, 280-GHz-signal receiving, sub-harmonic mixing, and intermediate frequency (IF) signal extraction. Each pixel consumes 10 mW power and achieves a sensitivity of 2.9 pW in simulation. The local oscillator (LO) of the pixel is phase coupled with its neighbors; …
-
Subwavelength nanostructures for optical biosensing and rapid photochemical reactions
… and compared. Schemes of enhancing the optical signal extraction are also discussed. We show the potential of dielectric based nanostructure substrate for applications in optical molecular sensing. Third, the experimental approaches from the two demonstrations are merged for photocatalytic …
-
Development of a Software Package for the Quantitative Analysis of Proteomic Mass Spectrometry Datasets Labelled with Nitrogen-15
… analysed by mass spectrometry (MS), allows the signal associated with differently labelled samples to be differentiated. When compared to similar labelling techniques such as Stable Isotope Labelling by Amino acids in Cell culture (SILAC), 15N poses unique challenges for analysis because the …
Page 1 of 2