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 132 for “"Gaussian distribution"”.
-
Confidence Ellipses Under the Inverse Gaussian Distribution
… is to study con dence regions under the Inverse Gaussian Distribution and how it applies to the construction of con dence ellipses of parameters associated with the Inverse Gaussian Distribution. This thesis consists of two parts, the rst part being the theoretical with where we seek to operate a …
-
Asymptotic distribution of eigenvalues of random matrices and characterization of the Gaussian distribution by rotational invariance
… The first result is a characterization of the distribution of a symmetric random matrix. Assuming independence of the diagonal and super-diagonal random variables of the symmetric random matrix the following theorem is proved: the distribution of the matrix is invariant under orthogonal …
-
A Description of the Electrostatic Interactions of Fluorophores With Polar Solvents Based on A Gaussian Distribution of Interaction Energies (Danca, Prodan)
… is given by the Langevin function, assuming a Gaussian distribution of interaction energies. A mathematical description of the solvent dependence of electronic spectra of fluorophores is developed which involves mainly parameters which characterize the electrostatic monopole dipole interaction.
-
Velocity moment analysis on oscillatory flow above self-formed vortex ripples
… time-averaged streamwise velocity is close to a Gaussian distribution in the area above the ripple crest and deviates from it on either side of the ripple crest. The degree of deviation from Gaussian distribution of the time-averaged wall-normal velocity increases with the wall-normal velocity. A …
-
Point Estimation of Three Parameter Crack Distribution
The three parameter Crack distribution is a mixture of the two parameter Inverse Gaussian distribution and Length Biased Inverse Gaussian distribution and Birnbaum-Saunders distribution is a special case for p = 1 2 ; where 0 p 1, is the weight parameter. In this thesis, we have developed and …
-
Non-Gaussian Factor Graph Inference for Robotic Navigation
This thesis addresses non-Gaussian factor graph inference problems that arise in simultaneous localization and mapping (SLAM). We present a general framework to draw samples from the joint posterior distributions of a SLAM problem via ancestral sampling on the Bayes tree. This conditional sampling …
-
Discrete Gaussian Sampling for Low-Power Devices
Sampling from the discrete Gaussian probability distribution is used in lattice-based cryptosystems. A need for faster and memory-efficient samplers has become a necessity for improving the performance of such cryptosystems. We propose a new algorithm for sampling from the Gaussian distribution …
-
Binary tree classifier and context classifier
… conventional single-stage Bayes classifier under Gaussian distribution assumption.
-
Influence of the Number of Degrees of Freedom on the Capacity of Incoherent Optical Fiber Communication Systems
… of the number of DOFs and that the half-Gaussian distribution is the optimum distribution. We are able to thus obtain a compact equation for spectral efficiency which behaves in a similar way to the Shannon capacity formula but with the SNR scaled by a constant. We also show that for low …
-
Spatially Selective 2D RF Inner Field of View (iFOV) Diffusion Kurtosis Imaging (DKI) of the Pediatric Spinal Cord
… for analysis are limited to assuming an ideal Gaussian distribution for water displacement with no intermolecular interactions. This assumption reduces the amount of relevant information that can be interpreted in a clinical setting. By measuring the excess kurtosis, or peakedness, of the …
-
Event detection in EEG signals for brain computer interface using expectation-maximation algorithm
… modelled the features of rest EEG signal using a Gaussian distribution and a mixture of Gaussians. The features of EEG were extracted using continuous wavelet transform and the parameters of the models were estimated using an Expectation-Maximization (EM) algorithm. Maximum-likelihood estimates of …
-
Design, construction, and testing of ultrasonic transducers with modified radial velocity profiles
… to use a transducer which produces a beam with a Gaussian profile. A transducer with a velocity profile which is Gaussian as a function of radius and independent of angle is described. The transducer has been constructed by depositing a circularly symmetric metallic multiple electrode array on a …
-
Information Measures For Statistical Orbit Determination
… information present in the heavy tailed distributions, more accurately representing the orbit states with low probability. The classical methods of orbit determination (i.e. Kalman Filter and its derivatives) provide state estimates based on only the second moments of the state and …
-
Physics-Based Compact Model Development of Field Emitter Arrays
… results of the electric field and potential distributions, the collection velocities of the emitted electrons were calculated, revealing that the current collection at the anode is electrostatically limited due to the deceleration of the electrons in the vacuum channel when the anode bias is …
-
Probabilistic Graphical Models for Crowdsourcing and Turbulence
… we consider the problem of modeling the mixing distribution of homogeneous isotropic passive scalar turbulence. We consider models specifying the conditional distribution of a coarse grained node given its adjacent coarse grained nodes. In particular, we demonstrate the effectiveness of a higher …
-
Density estimation with Kullback-Leibler loss
… The idea is to select n samples from the true distribution and choose the estimator which is the maximum posterior likelihood estimator in certain regular m-parameter exponential families, given that a Gaussian distribution is the prior on the parameter space. The implications for universal …
-
Deep Learning-based Time Series Forecasting: Models and Applications
… simplifies the input data and introduces Gaussian noise to the residual connection to achieve regularization so that the model can significantly reduce the training time while ensuring generalization accuracy. (2) It develops a deep uncertainty quantification method based on the assumption …
-
LASER DIODE PUMPED ND: YAG SOLID STATE LASER FOR APPLICATIONS IN SECOND HARMONIC GENERATION
… is analyzed for two different cases-uniform distribution and Gaussian distribution of the pump laser beam. The calculated pump efficiency of the pump module is 60% and 81 % for the uniform distribution and Gaussian distribution respectively. The Q-switched YAG laser properties, including the …
-
An analysis of the kinetics for oil agglomeration of coal
… shift towards larger particle sizes in the distribution curves for a stirring speed of 21,000 rpm, slurry concentration of 2 wt%, and oil dosage of 10 v/w%. For a stirring speed of 650 rpm, 4 min. were required for the maximum shift. When the oil was pre-emulsified and then added to the …
-
Ion Implantation Synthesis of Silicon Carbide
… of about 1400A. Carbon atoms follow an apparent Gaussian distribution in silicon substrate that is consistent with the theoretical predictions. After annealing, a buried or near surface silicon carbide grains in host silicon matrix was formed, and the disordered range narrowed. A maximum C/Si …
Page 1 of 7