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Cross-Modal Retrieval and Hashing
The objective of cross-modal retrieval is to retrieve relevant items from one modality (say image), given a query from another modality (say textual document). Cross-modal retrieval has various applications like matching ...
Mask Estimator Approaches For Audio Beamforming
Beamforming is a family of algorithms and performs a spatial filtering operation that makes it possible to map the distribution of the sources at a certain distance from the microphones and therefore locate the ...
Improved Generative Models for Zero-shot object recognition
Recognizing objects from their images automatically using computers is an important research area in the computer vision community. In this scenario, the testing images are automatically classified into one of the classes ...
Equivalent Circuit Analyses and Methods to Enhance Bandwidth of Klystron Reentrant Cavities
Klystron is used as an amplifier at microwave frequency range. Klystrons use cylindrical or rectangular reentrant cavities in their interaction structure. Characteristics of reentrant cavity can be defined using parameters ...
Algorithms for Stochastic Optimization, Statistical Estimation and Markov Decision Processes
Stochastic approximation deals with the problem of finding zeros of a function expressed as an expectation
of a random variable. In this thesis we propose convergent algorithms for problems in
optimization, statistical ...
Precoding and Channel Estimation Schemes for MIMO VLC Systems
Increase in the usage of smartphones and growing demand for data have resulted in
congestion in the RF spectrum. To ease the overcrowding of RF spectrum, there is a
need for wireless communication systems that can ...
Soft Switched Multilevel Unidirectional High Frequency Link DC to AC Converter for Medium Voltage Grid Integration of Solar Photovoltaics
Grounding the frame of photovoltaic (PV) panel is a necessity for the safety of humans. This
leads to the formation of large capacitance between PV cells and ground. Hence, to reduce
leakage current due to parasitic ...
Neural Representation Learning for Speech and Audio Signals
Representation learning is the branch of machine learning consisting of techniques that are capable of automatically discovering meaningful representations from raw data for efficient information extraction. In recent ...
Investigations on Generation of 30-Sided Polygonal Voltage Space Vector Structures Using a Single DC-link for Induction Motor Drives
A conventional 2-level inverter is the most prevalent DC-AC converter used to drive an induction motor. A conventional 2-level inverter produces a hexagonal voltage space vector structure. To extract maximum voltage from ...
Low Power Analog Neural Network Framework with MIFGMOS
Ever since the beginning of the notion behind the term 'cloud computing,' i.e., to share the pro-
cessing and storage capabilities of a centralized system, there has been a signi cant increase in the
availability of raw ...