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 31 for “"generalized likelihood ratio"”.
-
Reliability enhancement in automated guideway transit (AGT) vehicles : a generalized likelihood ratio approach
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1980.
-
Optimal Inference for Distributed Detection
… of a given decision strategy, such as a generalized likelihood ratio test, is often difficult or even impossible.</p> <p>In this thesis we develop a novel detection network optimization technique that can be used to determine necessary and sufficient conditions for optimality in …
-
Applied change of mean detection techniques for HVAC fault detection and diagnosis and power monitoring
… Institute of Technology. A variant form of the generalized likelihood ratio (GLR) change-detection algorithm is determined to be appropriate for detecting power transients which are used by the NILM to uniquely identify the start-up of electric end-uses. An extension of the GLR change-detection …
-
Diagnostics after a Signal from Control Charts in a Normal Process
… In this study, we proposed using maximum likelihood (ML) estimation of the current process parameters and their ML confidence intervals after a signal to identify and estimate the changed parameters. The performance of this ML diagnostic procedure is evaluated for several different charts …
-
Optimal thruster selection with robust estimation for formation flying applications
… is a combination of a Kalman filter and a Generalized Likelihood Ratio (GLR) test for actuator fault detection. A new model-comparison (MC) approach is introduced in conjunction with the GLR test to quickly and reliably determine the exact nature of the failure, once a malfunction has been …
-
GLR Control Charts for Monitoring a Proportion
The generalized likelihood ratio (GLR) control charts are studied for monitoring a process proportion of defective or nonconforming items. The type of process change considered is an abrupt sustained increase in the process proportion, which implies deterioration of the process quality. The …
-
Communications over fading channels with partial channel information : performance and design criteria
… the information rates for low signal-to-noise ratio (SNR), and the optimal duty cycle is expressed as a function of the fading rate and SNR. It is demonstrated that the resource allocations and duty cycles developed for Gaussian signals can also be applied to systems using other signaling …
-
Computationally efficient Gaussian Process changepoint detection and regression
… online GP framework, GP-NBC, that leverages the generalized likelihood ratio test to detect changepoints and learn multiple Gaussian Process models from streaming data. Furthermore, GP-NBC can quickly recognize and reuse previously seen models. The algorithm is shown to be theoretically sample …
-
A Framework for Spectrally Efficient Noncoherent Communication
… noncoherent detection, which may be viewed as a generalized likelihood ratio test (GLRT) for joint channel and data estimation, does not require separate training. The goal of this thesis is to provide a framework for designing spectrally efficient noncoherent communication systems, analogous to …
-
Detection and diagnosis of faults and energy monitoring of HVAC systems with least-intrusive power analysis
… to cause minimal interruption to the system's operation at low cost. However, based on additional sensors for the specific information of each component or black-box modeling, current work of fault detection and diagnosis introduces too much interruption to the system's normal operation associated …
-
Optimal and Suboptimal Signal Detection-On the Relationship Between Estimation and Detection Theory
… reduction using the Wald test is SFET and the Generalized Likelihood Ratio Test and the Rao test are asymptotically optimal. To find an improved test, we maximize the asymptotic probability of detection of the SFET using the Maximum Likelihood Estimation (MLE). We propose a systematic method …
-
GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process
… process control (SPC) chart based on a generalized likelihood ratio (GLR) statistic to monitor the mean vector. The performance of the GLR chart is compared to the performance of the Hotelling Χ² chart, the multivariate exponentially weighted moving average (MEWMA) chart, and a …
-
Spectrum Sensing in Cognitive Radio Networks
… detection of OFDM signals in low-signal-to-noise-ratio scenario is studied. It is shown that the cyclic prefix correlation coefficient (CPCC)-based spectrum sensing algorithm, which was previously introduced as a simple and computationally efficient spectrum-sensing method for OFDM signals, is a …
-
Spectrum sensing, spectrum monitoring, and security in cognitive radios
… In this dissertation, we formulate and solve the generalized likelihood ratio test (GLRT) for spectrum sensing when both primary user transmitter and the secondary user receiver are equipped with multiple antennas. We do not assume any prior information about the channel statistics or the primary …
-
Decision-making under statistical uncertainty
… in two different aspects. Firstly, we study the generalized likelihood ratio test (GLRT) that exploits partial knowledge about the alternate distribution to improve finite-sample performance over the Hoeffding test. Although the Hoeffding test is universally optimal in an asymptotic sense, we …
-
On upper confidence bound algorithms for piecewise-stationary stochastic multi-armed bandits and the variants
… core of MAB algorithms is addressing the exploration versus exploitation dilemma, and finding the right balance between them. Several simple yet effective algorithms (e.g., upper confidence bound (UCB) and Thompson sampling (TS)) have been proposed in the literature, which are order optimal …
-
On Development and Performance Evaluation of Some Biosurveillance Methods
… chart, and compares it with the CDC Early Aberration Reporting System (EARS) W2c method using both authentic and simulated data. After successfully removing the long-term trend and the seasonality involved in syndromic data, the performance of the SARIMA approach is shown to be better than the …
-
Functional regression models in the frame work of reproducing kernel Hilbert space
… testing the nullity of the slope function, and a generalized likelihood ratio test based on easily implementable data-driven estimate is proposed. The quality of the test is measured by the minimal distance between the null and the alternative space that still allows a possible test. The lower …
-
Chemical identification under a poisson model for Raman spectroscopy
… methods are analyzed for computing the maximum-likelihood (ML) estimates of the mixing coefficients under our data model. The performance of these algorithms is compared against the Cramer-Rao lower bound (CRLB). Next, the Raman detection problem is formulated as one of multiple hypothesis …
-
Data Driven Nonparametric Detection
… distributions. For both models, we construct generalized likelihood ratio tests (GLRT), and show that with the knowledge of the KL divergence between the outlier and typical distributions, GLRT is exponentially consistent (i.e, the error risk function decays exponentially fast). We also show …
Page 1 of 2