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 20 for “"deconvolution method"”.
-
The Fourier convolution-deconvolution method: its limitation and application
… paramagnetic resonance (EPR) Fourier Convolution-Deconvolution method of measuring distance was utilized to determine the distance between two cysteine mutated residues in the linker region of Sso1p in order to determine the conformation of this region during SNARE complex assembly. A 12 -14 …
-
2d dose measurement using a flat panel EPID
… EPID for two dimensional dose measurements, the deconvolution method was chosen. The scatter dose kernel required for this calibration method was calculated and characterized by varying the energy, spectrum and phantom material using a 6MV pencil beam. We found that flat panel EPID scatter kernel …
-
Experimental determination of the impulse response function for elastic vibrating systems
An experimental method for determination and analysis of the impulse response function of linear, elastic, vibrating systems is developed. A deconvolution method is developed for estimation of the impulse response function. The estimator is shown to be unbiased in the presence of measurement noise. …
-
Reconstruction of the Spatial Distribution of Surface Activity Concentration for an In-Situ, Gamma-Ray, Truck-Borne Survey
… spectrometer sensitivity. In addition, a spatial deconvolution method was used to reconstruct the distributed source around a sample of survey path. It involved pixelizing a field of interest, and representing the distributed source by pixel sources, based on array responses for EGSnrc simulations …
-
Frequency-domain deconvolution in deep learning
… in computer vision tasks: the frequency-domain deconvolution operation. Recognizing the unparalleled success of convolutional neural networks (CNNs) in the realm of computer vision, we critically evaluate the performance and computational demands of traditional convolution operations against the …
-
Comparison of receiver function deconvolution techniques
… Due to the presence of noise in the data, the deconvolution is unstable and must be regularized. Six deconvolution techniques are evaluated and compared based on their performance with synthetic data sets. These methods approach the deconvolution problem from either the frequency or time …
-
Fourier-Transform Infrared Studies of Polypropylene During Mechanical and Thermal Deformations
… from the infrared absorption band using Ergun's deconvolution method, while the spatial orientation distribution has been obtained by coupling the experimentally observed absorption with Kratky's model of a distribution function.
-
Investigation of the thermodynamics of iron phosphate melts and stability of iron phosphate glasses: effects of composition and iron redox ratio
… to be predictive of iron valence state, and a deconvolution method is proposed to analyze iron coordination environments. Two models were developed using optical basicity and a statistical, bonding-level representation of the glass structure to investigate the effects of composition on iron …
-
Retrieval of Free Space Radiation Patterns through Measured Data in a Non-Anechoic Environment
… are like the Test Zone Field compensation method, the Fast-Fourier-Transform-based method, the Matrix Pencil method, and the Antenna Pattern Comparison technique.</p> <p>This work illustrates and extends a deconvolution methodology which allows the antenna measurement under a non-anechoic …
-
Generation of high resolution tomographic images for NDT applications
… been given to the more straightforward imaging methods, such as main beam projection, which detect the presence of defects and provide a limited flaw sizing capability. The relatively small number of flaws requiring detailed examination, coupled with substantial increases in available data …
-
UNDERSTANDING THE CELLULAR AND GENE-REGULATORY MECHANISMS UNDERLYING THE MESENCHYMAL TRANSITION OF EPENDYMOMA TUMOR CELLS USING OMICS APPROACHES
… tumor cells. Building upon on the computational methods used to analyze these data, we developed ConDecon, a clustering-independent deconvolution method for inferring high-resolution cell abundances from bulk tissues using single-cell data as reference (Chapter 4). Applying ConDecon to the …
-
Acoustic Seabed and Target Classification using Fractional Fourier Transform and Time-Frequency Transform Techniques
… for determining the impulse response: FrFT method versus standard deconvolution method. Of particular interest for underwater under-sediment classification applications are long targets such as cables of various diameters, which need to be identified as different from other strong reflectors …
-
ESSAYS ON NONPARAMETRIC ESTIMATION OF HETEROGENEOUS CAUSAL EFFECTS
… extending the classical version of statistical deconvolution method to the Rubin causal framework. I show that the estimator is uniformly consistent for the distribution of causal effects. \par In chapter two, I apply the nonparametric method developed in the previous chapter to the estimation …
-
Searches for supersymmetric particles in events with two opposite-sign same-flavor leptons, jets, and large missing transverse energy
… when the lepton is highly boosted. A data-driven method is developed using photon data (γ+jets) events to model the jet mismeasurements in Z + jets events. To model the lepton resolution, I developed a data-driven deconvolution method, which deconvolves jet and lepton resolutions in a control …
-
Regulation of Global Transcription Dynamics During Cell Division and Root Development
… disparate datasets and present a CLOCCS based deconvolution of the cell-cycle expression data. A deconvolution method is also developed for the <italic>Arabidopsis</italic> dataset, increasing its resolution to cell-type/section subregion specificity. Finally, a method for identifying …
-
Ambient measurements of chemical and physical properties of organic aerosols: Insights into formation, growth, and heterogeneous chemistry
… 4.9 nm hr-1 were observed. Using a mass-spectral deconvolution method coupled with linear regression analysis, the sub-micron organic aerosol mass observed during the campaign, and during events, was determined to have been influenced by both local and regional secondary processes with only a …
-
Development of an Image Noise Estimation Method and a Sub-Imaging Based Wiener Method
… are restored using all of the techniques. Of the methods investigated the one which produces the best restoration results was determined to be the Wiener deconvolution method. The determination of the best method is based on the quality of the restored image and the required restoration time. The …
-
Mathematical Modeling and Deconvolution for Molecular Characterization of Tissue Heterogeneity
… from complex tissues. Existing computational methods performing data deconvolution from mixed subtype signals almost exclusively rely on supervising information, requiring subtype-specific markers, the number of subtypes, or subtype compositions in individual samples. We develop a fully …
-
Facial image restoration and retrieval through orthogonality
… and retrieval tasks. A facial image restoration method and three retrieval methods were proposed. Blur in facial images significantly impedes the efficiency of recognition approaches. However, most existing blind deconvolution methods cannot generate satisfactory results, due to their dependence …