An SNR estimation approach and a jamming detector based on wavelet transform theory are presented. The SNR estimator is an in-service, non-data aided estimator that operates on M-PSK and QAM modulated signals transmitted over baseband CWGN channels. The signal and noise power ar…
"16" Result
Sort By:
The goal of this thesis is to develop statistical and learning algorithms for the design, analysis, measurement, and modeling of networking and security systems with specific focus on RFID systems, network performance metrics, user security, and software security. Next, I give a…
The performance of several widely-known methods for analyzing data utilizing nonlinear mixed effects models are evaluated via simulation in two settings. Each setting is a hierarchical mixed effects model in which repeated observations on a subject are modeled by subject-specifi…
My dissertation research is composed of two parts: a theoretical part on semiparametric efficient estimation and an applied part in energy economics under different dynamic settings. The essays are related in terms of their applications as well as the way in which models are con…
Integrated conservation and development (ICD) has become a dominant paradigm in management of tropical forests valued for both global ecological and local livelihood services. This dissertation examines ecotourism as a potential strategy for ICD, in a case study of Siberut Islan…
This study examines the impact of fiscal deficits on economic growth in developing countries. Based on deduction from the relevant theoretical and empirical literature, the study tests the following hypotheses regarding the impact of fiscal deficits on economic growth. First, fi…
The analysis of time series has long been the subject of interest in different fields. For decades time series were analysed with linear models, which have many advantages. Nevertheless, an issue which has been raised is whether there exist other models that can explain and fore…
This dissertation develops a new approach that enables policy-makers to analyze welfare gains from improvements in the quality of infrastructure services in developing countries where data are limited and supply is subject to interruptions. An application of the proposed model i…
This research is intended to apply linear and non-linear techniques to estimate the money demand function of Saudi Arabia under two alternative approaches using two different measures of monetary aggregates (Divisia and Simple-Sum monetary aggregates). The first approach is the …
Scope and method of study. The goal of this research is to adapt data masking techniques for estimation of confidential, continuous numeric data involving non-monotonic relationships in privacy-preserving data mining (PPDM). Estimation techniques are an important class of data m…
Synchronization is a critical operation in digital communication systems, which establishes and maintains an operational link between transmitter and the receiver. As the advancement of digital modulation and coding schemes continues, the synchronization task becomes more and mo…
Children who grow up in poverty tend to be less healthy, less well educated, and earn less money as adults than their non-poor peers. However, it is often difficult to quantify the independent causal effects of the various components of poverty on child health and cognitive deve…
The topic of this thesis is control and estimation over unreliable communication networks such as wireless network. It is assumed that the plant and control unit are connected though unreliable channels. We considered the problems of estimation and control under two dierent prot…
In ionospheric modeling, the differential code biases (DCBs) are a non-negligible error source, which are routinely estimated by the different analysis centers of the International GNSS Service (IGS) as a by-product of their global ionospheric analysis. These are, however, estim…
Life's most valuable asset is health. Continuously understanding the state of our health and modeling how it evolves is essential if we wish to improve it. Given the opportunity that people live with more data about their life today than any other time in history, the challenge …