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Fast and Compact Voltage Equalizer for Satellite Applications
Lithium-ion batteries have now become an essential constituent of the Electrical Power System
of solar-powered satellites due to their high energy density, wider operating temperature range
, and better radiation tolerance. ...
A Novel Passive Regenerative Snubber for the Phase-Shifted Full-Bridge Converter: Analysis, Design and Experimental Verification
The development of Wide Bandgap (WBG) devices has enabled power electronic converters
to operate at much higher frequencies, voltages and high power. Working at a higher
switching frequency minimises the size of magnetics ...
Improved air-tissue boundary segmentation in real-time magnetic resonance imaging videos using speech articulator specific error criterion
Real-time Magnetic Resonance Imaging (rtMRI) is a tool used exhaustively in speech science and linguistics to understand the dynamics of the speech production process across languages and health conditions. rtMRI has two ...
Content-Based Texture Analysis and Synthesis for Low Bit-Rate Video Coding Using Perceptual Models
Determining perceptually irrelevant and redundant information from human point of view is one of the fundamental problems today that is limiting the performance of current video compression algorithms. The performance of ...
Sparsity Driven Solutions to Linear and Quadratic Inverse Problems
The problem of signal reconstruction from inaccurate and possibly incomplete set of
linear/non-linear measurements occurs in a variety of signal and image processing
applications. In this thesis, we develop reconstruction ...
Denoising and Refinement Methods for 3D Reconstruction
Capturing raw 3D data from the real world is the initial step for many 3D reconstruction pipelines in
different computer vision applications. However, due to inaccuracies in measurement and oversimplification
in mathematical ...
Machine Learning for Decoding Imagined words and Altered State of Consciousness from EEG
In the first part of the thesis, the results of our studies on the classification of phonological categories in imagined words are presented. We have investigated whether there are any statistically significant differences ...
Deep Learning Methods For Audio EEG Analysis
The perception of speech and audio is one of the defining features of humans. Much of the brain’s underlying processes as we listen to acoustic signals are unknown, and significant research efforts are needed to unravel ...
Influence of Soil's Electrical Parameters on Lightning Stroke-current Evolution and Fields in the Close Range
The lightning return stroke forms one of the severest natural sources of electromagnetic interference for ground-based and airborne systems. Many physical fields are involved in this complex physical phenomenon. Several ...
Generalizing Cross-domain Retrieval Algorithms
Cross-domain retrieval is an important research topic due to its wide range of applications in e-commerce, forensics etc. It addresses the data retrieval problem from a search set, when the query belongs to one domain, and ...