Now showing items 1-20 of 597

• #### 3-D segmentation and volume estimation of radiologic images by a novel, feature driven, region growing technique ﻿

(1992)
Magnetic Resonance (MR) imaging is a 3-D, multi-slice, radiological technique that acquires multiple intensities corresponding to each voxel. The transverse relaxation time, T$\sb1$, and the axial relaxation time, T$\sb2$, are two commonly obtained intensities that tend to be orthogonal. Automated segmentation of 3-D regions is very difficult because ...
• #### A behavioral approach to positive interpolation ﻿

(2005)
We study interpolation by positive functions from a behavioural point of view. In particular, by considering the notion of mirror image data, the interpolation problem with passivity constraint is transformed into an unconstrained behavioural modeling one. It will be shown that the generating system for this problem has to be unitary with respect to ...
• #### A closed-loop model of the ovine cardiovascular system ﻿

(2003)
The conscious sheep is an important large animal model for the study of human cardiovascular and cardiopulmonary system. In this study we develop a closed-loop mathematical model of its cardiovascular system. A distributed approach is taken in describing the systemic circulation, which is divided into cerebral, coronary, foreleg, thoracic, abdominal, ...
• #### A coding theoretic approach to image segmentation ﻿

(2001)
Using a coding theoretic approach, we achieve unsupervised image segmentation by implementing Rissanen's concept of Minimum Description Length (MDL) for estimating piecewise homogeneous regions in images. MDL offers a mathematical foundation for balancing brevity of descriptions against their fidelity to the data by penalizing overly complex ...
• #### A communications and interaction model for intelligent cooperating robots ﻿

(1993)
In complex robotic operating environments in which robots must cooperate in a flexible and event-driven manner, a cooperative distributed environment for intelligent control is required. We develop a realistic technique for going beyond the model of a central controller for a multi-robot environment and replacing it with a schema of interacting, ...
• #### A Compressive Phase-Locked Loop ﻿

(2011)
We develop a new method for tracking narrowband signals acquired through compressive sensing, called the compressive sensing phase-locked loop (CS-PLL). The CS-PLL enables one to track oscillating signals in very large bandwidths using a small number of measurements. Not only does the CS-PLL potentially operate below the Nyquist rate, it can extract ...

(1973)

(1971)

(1968)
• #### A Data and Platform-Aware Framework For Large-Scale Machine Learning ﻿

(2015-04-24)
This thesis introduces a novel framework for execution of a broad class of iterative machine learning algorithms on massive and dense (non-sparse) datasets. Several classes of critical and fast-growing data, including image and video content, contain dense dependencies. Current pursuits are overwhelmed by the excessive computation, memory access, and ...

(1970)

(1986)
• #### A dual acousto-optic laser scanning microscope system for the study of dendritic integration: Design, construction, and preliminary results ﻿

(2003)
Recent research has highlighted the vital role played by dendrites in effecting the computational properties of single neurons in the central nervous system (CNS). An ultraviolet (UV) acousto-optic laser scanning microscope system was developed that enables UV laser pulses to be delivered to multiple user-selected sites in the microscope's specimen ...
• #### A globally convergent algorithm for training multilayer perceptrons for data classification and interpolation ﻿

(1991)
This thesis addresses the issue of applying a "globally" convergent optimization scheme to the training of multi-layer perceptrons, a class of Artificial Neural Networks, for the detection and classification of signals in single- and multi-user communication systems. The research is motivated by the fact that a multi-layer perceptron is theoretically ...
• #### A hierarchical wavelet-based framework for pattern analysis and synthesis ﻿

(2000)
Despite their success in other areas of statistical signal processing, current wavelet-based image models are inadequate for modeling patterns in images, due to the presence of unknown transformations inherent in most pattern observations. In this thesis we introduce a hierarchical wavelet-based framework for modeling patterns in digital images. This ...

(1976)
• #### A HIGH RESOLUTION DATA-ADAPTIVE TIME-FREQUENCY REPRESENTATION ﻿

(1987)
The short-time Fourier transform and the Wigner distribution are the time-frequency representations that have received the most attention. The Wigner distribution has a number of desirable properties, but it introduces nonlinearities called cross-terms that make it difficult to interpret when applied to real multi-component signals. The short-time ...
• #### A hybrid relaying protocol for the parallel-relay network ﻿

(2010)
Cooperation among radios in wireless networks has been shown to improve communication in several aspects. We analyze a wireless network which employs multiple parallel relay transceivers to assist in communication between a single source-destination pair, demonstrating that gains are achieved when a random subset of relays is selected. We derive ...

(1964)

(1973)