Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 1112-1131 of 1263
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Stochastic Approximation Algorithms with Set-valued Dynamics : Theory and Applications
(2018-07-05)Stochastic approximation algorithms encompass a class of iterative schemes that converge to a sought value through a series of successive approximations. Such algorithms converge even when the observations are erroneous. ... -
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 ... -
Stochastic approximation with set-valued maps and Markov noise: Theoretical foundations and applications
Stochastic approximation algorithms produce estimates of a desired solution using noisy real world data. Introduced by Robbins and Monro, in 1951, stochastic approximation techniques have been instrumental in the asymptotic ... -
Stochastic Finite Element Modeling of Material and Geometric Uncertainties in Electromagnetics
Design methodologies for RF/Microwave systems require major changes to cope up with the evolution of faster, high data/rate wireless communication systems using 5G and futuristic 6G technologies. The research on Terahertz ... -
Stochastic Methods in Time-Domain Electromagnetic Computations
The world is advancing towards a highly connected, fast data rate, digital trans- formation through communication technologies like 5G and 6G, high-speed data centres, Terahertz imaging etc. High-frequency RF systems are ... -
Stochastic Newton Methods With Enhanced Hessian Estimation
(2018-05-22)Optimization problems involving uncertainties are common in a variety of engineering disciplines such as transportation systems, manufacturing, communication networks, healthcare and finance. The large number of input ... -
Stochastic Optimization And Its Application In Reinforcement Learning
Numerous engineering fields, such as transportation systems, manufacturing, communication networks, healthcare, and finance, frequently encounter problems requiring optimization in the presence of uncertainty. Simulation-based ... -
Straegies For Rapid MR Imaging
(2010-07-21)In MR imaging, techniques for acquisition of reduced data (Rapid MR imaging) are being explored to obtain high-quality images to satisfy the conflicting requirements of simultaneous high spatial and temporal resolution, ... -
Strategies for Handling Large Vocabulary and Data Sparsity Problems for Tamil Speech Recognition
This thesis focuses on the design and development of every building block of a very large vocabulary, continuous speech recognition (LVCSR) system and various experiments conducted in order to enhance its performance. ... -
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, ... -
Structured Sparse Signal Recovery for mmWave Channel Estimation: Intra-vector Correlation and Modulo Compressed Sensing
This thesis contributes new theoretical results and recovery algorithms for the area of sparse signal recovery motivated by applications to the problem of channel estimation in mmWave communication systems. The presentation ... -
Studies In Automatic Management Of Storage Systems
(2015-11-16)Autonomic management is important in storage systems and the space of autonomics in storage systems is vast. Such autonomic management systems can employ a variety of techniques depending upon the specific problem. In this ... -
Studies In Micro Interconnections In Printed Wiring Board
(2010-08-30)Trend towards downsizing the product size and at the same time to bring more functionality in electronic products, demands electrically interconnecting several miniaturized electronic components with high counts of I\Os ... -
Studies on Amorphous Silicon Thin Films Doped with Aluminium
(Indian Institute of Science, 2005-10-25)Amorphous Silicon(a-Si) films have attracted the attention of several investigators as it is an economical material for devices. One of the problems that is addressed is the doping of these films after they are prepared. In ... -
Studies on Current Hysteresis Controllers and Low Order Harmonic Suppression Techniques for IM Drives with Dodecagoal Voltage Space Vectors
(2017-12-01)Multilevel inverters are very popular for medium and high-voltage induction motor (IM) drive applications. They have superior performance compared to 2-level inverters such as reduced harmonic content in output voltage and ... -
Studies on EEG correlates of non-ordinary states of consciousness and slow-paced breathing
Studies on the non-ordinary states of consciousness (NSCs) induced by meditation, hypnosis, trance, and slow-paced breathing are gaining visibility due to their potential efficacy in treating various clinical conditions. ... -
Studies on Electrical Treeing in High Voltage Insulation Filled with Nano-Sized Particles
(2018-03-08)Polymers are widely used as insulating materials in high voltage power apparatus because of their excellent electrical insulating properties and good thermomechanical behavior. However, under high electrical stress, polymeric ...