ProQuest
®
Dissertations & Theses
The world's most comprehensive collection of dissertations and theses.
Learn more...
TOP
>>
THE JOHNS HOPKINS UNIVERSITY
>> Electrical engineering
Browse Institutions
You are viewing titles for THE JOHNS HOPKINS UNIVERSITY in the Electrical engineering available through the UMI Dissertations & Thesis Gradwoorks site
Computationally scalable spatial resizing of DCT domain compressed images and video
Fast measurement of heart motion using MRI: Systems, sequences, and algorithms
Control and information-theoretic analysis of biological signaling systems
A novel mechanosensory feedback system controls cell shape progression during cytokinesis
A multi-dithering controller with sub-microsecond response time: Analysis and SiGe BiCMOS implementation
On filter bank and transform design with the lifting scheme
Predicting mechanisms of arrhythmia in heart failure using high performance computing
Statistical machine translation and automatic speech recognition under uncertainty
Applications of Orthogonal Frequency-Division Multiplexing (OFDM) to radar
Diffeomorphic surface matching via currents and tangent space representations for statistics on diffeomorphisms
Mathematical modeling of Dictyostelium discoideum chemotaxis: Gradient sensing and motility
Biomorphic circuits and systems: Control of robotic and prosthetic limbs
Thermometry and magnetic resonance imaging
Performance optimization of local magnetic resonance surface coils and antennas
Seeing the light: Design and characterization of photodetectors with internal gain fabricated in standard CMOS technologies
Single-chip integration of a 3-D imaging system
The silicon chip: A versatile micro-scale platform for micro- and nano-scale systems
A micro-Doppler sonar for acoustic surveillance in sensor networks
Reconfigurable application-specific instrumentation and control integrated systems
Local computation and estimation of wavelet coefficients in the dual-tree complex wavelet transform and its applications
Reconstructing spontaneous speech
Modeling data-source variability for content-based video retrieval using hidden Markov models
Quantitative measurement of physiological parameters in the brain using magnetic resonance imaging techniques
Microstructural studies of organic spin valves and superconducting vortex ratchets
Knowledge integration into language models: A random forest approach
Measuring cardiac energetics with magnetic resonance
Application of organic semiconductors: Chemical sensors based on organic field effect transistors
All-fiber endoscopic optical imaging devices
Dynamic MRI using internal detectors
Guided wave evanescent field devices
Semi-supervised model selection with applications to speech recognition
Practical algorithms for compressive sensing and their applications to multimedia processing
Discriminative training and variational decoding in machine translation via novel algorithms for weighted hypergraphs
Novel optimization modeling applications for environmental and economic decision support in land and energy management
Methods for high resolution myocardial motion and strain quantification and robust coronary MRA in a relaxed cardiac MRI exam
Neuromorphic object detection and recognition
Categorizing video sequences of non-rigid dynamical objects
Remote listening and passive acoustic detection in a 3-D environment
Estimation and processing of orientation distribution functions for high angular resolution diffusion images
Optical methods and integrated systems for brain imaging in awake, untethered animals
Development of a 4D image reconstruction method with respiratory motion compensation for oncological PET imaging
Development and validation of quantitative imaging methods for patient-specific targeted radionuclide therapy dosimetry
Investigation of the utility of energy resolved photon-counting x-ray detectors for small animal computed tomography
Functional Fourier-domain optical coherence tomography for guiding vitreoretinal surgery
Learning sub-word units and exploiting contextual information for open vocabulary speech recognition
Search and decoding strategies for complex lexical modeling in LVCSR
Learning graphical models with limited observations of high-dimensional data
Real-time Graphics Processing Unit Based Fourier Domain Optical Coherence Tomography and Surgical Applications
Understanding directed cell migration: From image processing to mathematical modeling
Computational models of cell division
Learning and inference algorithms for dynamical system models of dextrous motion
An investigation of linear projection methods: Multiple projections and semi-supervised learning
Spatial acoustic signal processing for immersive communication
Sparse representation for target detection and classification in hyperspectral imagery
Integrated neural systems and algorithms for analysis of population activity during dexterous hand movements
Long-rank approximation and sparse recovery for visual data reconstruction
A Kennedy receiver for optical Quadrature Phase Shift Keying
Real-time bio-inspired sensory processing
Biomass electricity plant allocation through non-linear modeling and mixed integer optimization
Distributed optimization on manifolds for consensus algorithms and camera network localization
Eigen mode approach to the sub-wavelength imaging with surface plasmon polaritons
Sparse modeling for high-dimensional multi-manifold data analysis
Alternative regularized neural network architectures for speech and speaker recognition
Practical and efficient incorporation of syntactic features into statistical language models