Electrical Engineering (EE): Recent submissions
Now showing items 61-80 of 350
-
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 ... -
Price of Privacy of Smart Meter Data
Smart meter data can be used by the utility for billing the consumers timely along with power theft detection, demand side management, distribution network planning, consumer segmentation, load forecasting, fault detection, ... -
Solving Inverse Problems Using a Deep Generative Prior
In an inverse problem, the objective is to recover a signal from its measurements, given the knowledge of the measurement operator. In this thesis, we address the problems of compressive sensing (CS) and compressive phase ... -
Knowledge-driven training of deep models for better reconstruction and recognition
This thesis aims to efficiently solve many interesting and challenging problems by incorporating appropriate image processing techniques in a deep learning framework. We have proposed, implemented and tested efficient ... -
Speech enhancement using deep mixture of experts
Speech enhancement is at the heart of many applications such as speech com- munication, automatic speech recognition, hearing aids etc. In this work, we consider the speech enhancement under the framework of multiple ... -
Binaural Source Localization using subband reliability and interaural time difference patterns
Machine localization of sound sources is necessary for a wide range of appli- cations, including human-robot interaction, surveillance and hearing aids. Robot sound localization algorithms have been proposed using ... -
Dynamics of a Stratified Population of Optimum Seeking Agents on a Network
Very large scale multi-agent systems occur both naturally and in engineering applications. In many of these systems, the agents are either selfish or act with varying levels of coordination. Understanding the evolution of ... -
Shape-constrained Biomedical Image Segmentation and Applications
The detection, segmentation, and delineation of the targeted regions of interest in biomedical images are fundamental steps for computer-aided assessment and prescreening. In this thesis, we focus on shape-constrained ... -
Modeling, Analysis and Control of Reconfigurable Battery/Grid Tied Solar Photo-Voltaic Inverter
Grid reliability and power outages are key concerns today, due to the ever-increasing energy demand. Traditionally, Uninterruptible Power Supplies (UPS) with battery storage have been employed to contend with grid outages. ... -
Face Recognition in Unconstrained Environment
The goal of computer vision is to provide the ability to machines to understand image data and infer the useful information from it. The inferences highly depend on the quality of the image data. But in many real-world ... -
Hardware Emulation of a Long Transmission Line by High Frequency Power Electronic Converter for the study of Switching Transients
To ensure smooth functioning of the grid, the reliability and robustness of the power system equipment needs to be precisely evaluated during their development process. But direct on- eld tests of most of the equipment ... -
Algorithms for Processing RGBD Images and Videos for Depth-Based 3D Video Systems
In recent times, immersive visual media such as Virtual Reality (VR), Augmented Reality (AR), 3DTV and Free Viewpoint Television (FTV) have garnered tremendous interest. Immersive visual media content typically provides ... -
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 ... -
Parallel Computing Techniques for High Speed Power System Solutions
Modern power systems are enormously large and complex entities. Planning, maintaining and operating such a system would be cumbersome if it were not for the wide assortment of analytical methods available to assist the ... -
Modelling, Optimisation and Control of Photovoltaic Energy Conversion Systems
With growing energy demands of the society and depleting reserves of conventional energy sources, renewable energy is the need of the hour. Out of the various renewable energy sources available, solar photovoltaic (PV) ... -
Fast and Robust Biomedical Image Reconstruction from Nonuniform Samples
We consider the problem of reconstructing images from non-uniformly under-sampled spatial point measurements with emphasis on robustness to noise. The computational methods that deals with this problem are known as ... -
Attention-Feedback and Representations in OCR
A Kannada OCR, named Lipi Gnani, has been designed and developed from scratch, with the motivation of it being able to convert printed text or poetry in Kannada script, without any restriction on vocabulary. The training ... -
Emulation of wind turbine and sensorless control of doubly-fed induction generator for wind energy application
Wind energy utilization has been growing at a rapid rate, fuelling research and development in wind turbine – generator systems. Doubly fed induction generator (DFIG) driven by a wind turbine is a commonly used wind energy ... -
A Fast Constant-Time Approximation for Locally Adaptive Bilateral Filtering
Smoothing is a fundamental task in low-level image processing that is used to suppress irrelevant details while preserving salient image structures. The simplest smoothing mechanism is to average neighboring pixels using ... -
Application of Semi Analytical Methods for Large Power System Simulations
Power system dynamics can be accurately modelled in time domain by using nonlinear differential and algebraic equations (DAEs). The challenge lies in solving the large number of nonlinear DAEs faster than real-time in order ...