Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2018"
Now showing items 61-74 of 74
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Robust Risk Minimization under Label Noise
In the setting of supervised learning, one learns a classi fier from training data consisting of patterns and the corresponding labels. When labels of the examples in training data have errors, it is referred to as label ... -
Signal Processing and Coding for Two-Dimensional Magnetic Recording
Many novel approaches have been proposed to improve storage densities of magnetic recording beyond the existing 1 Tb/in2. These include heat-assisted magnetic recording (HAMR), bit-patterned media (BPM) and two-dimensional ... -
Single Phase Grid Connected Converter using Active Power Decoupler with Harmonic Control
The single phase converters are inherently exposed to the pulsating power. The conventional approach to supply this pulsating power is to use a huge Electrolytic capacitor. However, Electrolytic capacitors with high ... -
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 ... -
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 ... -
Stationary diesel exhaust treatment by blending discharge plasma/ozone with industry wastes: a study on abatement of NOx and THC
Increased usage of fossil fuels, especially diesel, has made a large impact on the environment in the form of rise in global temperature, increased acidity in the rain water, decreased yield in vegetation and numerous ... -
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning
Stochastic approximation algorithms are sequential non-parametric methods for finding a zero or minimum of a function in the situation where only the noisy observations of the function values are available. Two time-scale ... -
Structured Regularization Through Convex Relaxations Of Discrete Penalties
Motivation. Empirical risk minimization(ERM) is a popular framework for learning predictive models from data, which has been used in various domains such as computer vision, text processing, bioinformatics, neuro-biology, ... -
Synthesis of Conformal Antenna Arrays on Polygonal Cross-Sectional Cylindrical Conductors for 360 Degree Azimuth Coverage Applications
Antenna arrays are one of the most important part of any RF communications system nowadays. Ranging from military to communication applications, the versatility they provide in selectively enhancing and rejecting signals ... -
Total Electric Field due to an Electron Avalanche and it's coupling to Transmission Line Conductors
Transmission of bulk electric power from the generating stations to the load centres can be carried out only through high voltages transmission lines. One of the main issues in the design and maintenance of extra and ... -
Typestates and Beyond: Verifying Rich Behavioral Properties Over Complex Programs
Statically verifying behavioral properties of programs is an important research problem. An efficient solution to this problem will have visible effects over multiple domains, ranging from program development, program ... -
Upper Frequency Bound on Circuit-Based Models for Transformer Windings
The power generation, transmission and utilisation are necessarily being carried out at different voltage levels, and require transformers for performing the voltage level conversions. As a result, transformers form one ... -
Visual Speech Recognition
Visual speech recognition (VSR), or automatic lip-reading, is the task of extracting speech information from visual input. The addition of visual speech has been shown to improve the performance of traditional audio ... -
Wireless Channel Modeling for Drone to Ground 2.4 GHz link
Use of Drones for communication is picking up the pace and expected to grow exponentially in the coming years. These drones will be used as access points for providing WiFi services in the near future. It is well known ...