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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 ...
Low delay file transmissions over power constrained quasi-static fading channels
The ubiquitous deployment of battery-operated wireless devices has resulted in the need
for efficient low latency power allocation schemes. A common phenomenon in wireless
transmission systems is congestion, where the ...
Improved Understanding of Standing Waves in Single Layer Coils and Elegant Methods to Estimate Transformer Winding Parameters
Analyzing the effect of impulse voltages (like lightning, switching) on transformer winding has occupied centerstage in core electrical engineering research for over a century. These investigations gather great significance ...
Algorithms and Testbed for Synchronous Generator Parameter Estimation
The development of dynamic power system component models became increasingly important in the modern grids dominated by high penetration of renewables because of the increased dependency of planning and operational decisions ...
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 ...
Provably Convergent Algorithms for Denoiser-Driven Image Regularization
Some fundamental reconstruction tasks in image processing can be posed as an inverse problem
where we are required to invert a given forward model. For example, in deblurring and
superresolution, the ground-truth image ...
Investigations on Capacitor Size Reduction and PWM Strategy for Multilevel Polygonal Space Vector Structure for Induction Motor Drives
Multilevel voltage source inverter transformed conversion of DC to AC for medium to high power application. With increasing electric power demand, the multilevel converter allows high power density converters for medium ...
Nonlinear Optical Enhancement Studies in Silicon-based Resonant Metasurfaces
Metasurfaces are two dimensional arrangements of building blocks called meta-atoms which have been found to be useful to manipulate amplitude, phase, polarization of light at the nanoscale. Using these properties, functional ...
Investigations on Increasing Linear Modulation Range in Hybrid Multilevel Inverter Fed Induction Machine Drives Regardless of Load Power Factor
Nowadays, multilevel inverters (MLIs) have become a promising alternative to the twolevel inverter in medium voltage high-power applications such as motor drives, active power filters,
HVDC, electric vehicles, wind, and ...
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 ...