Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 681-700 of 1263
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Low Light Image Restoration: Models, Algorithms and Learning with Limited Data
The ability to capture high quality images under low-light conditions is an important feature of most hand-held devices and surveillance cameras. Images captured under such conditions often suffer from multiple distortions ... -
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 ... -
Low Power and Low Area Techniques for Neural Recording Application
(2018-02-23)Chronic recording of neural signals is indispensable in designing efficient brain machine interfaces and to elucidate human neurophysiology. The advent of multi-channel micro-electrode arrays has driven the need for ... -
Low Power And Low Spur Frequency Synthesizer Circuit Techniques For Energy Efficient Wireless Transmitters
(2017-09-07)There has been a huge rise in interest in the design of energy efficient wireless sensor networks (WSN) and body area networks (BAN) with the advent of many new applications over the last few decades. The number of sensor ... -
Low Power LO Generation Based On Frequency Multiplication Technique
(2008-08-27)TO achieve high level of integration in order to reduce cost, heterodyne architecture has made way for low-IF and zero-IF (direct conversion) receiver architectures. However, a very serious issue in implementing both zero ... -
Low Power Machine Learning Systems for Energy Efficient Edge Devices
Energy-efficient devices are essential in the world of edge computing and the tiny Machine Learning (tinyML) paradigm. Edge devices are often constrained by the available compu- tational power and hardware resource. To ... -
Low Power Receiver Architecture And Algorithms For Low Data Rate Wireless Personal Area Networks
(2013-09-03)Sensor nodes in a sensor network is power constrained. Transceiver electronics of a node in sensor network consume a good share of total power consumed in the node. The thesis proposes receiver architecture and algorithms ... -
Low Power Test Methodology For SoCs : Solutions For Peak Power Minimization
(2013-09-13)Power dissipated during scan testing is becoming increasingly important for today’s very complex sequential circuits. It is shown that the power dissipated during test mode operation is in general higher than the power ... -
Low Switching Frequency Pulse Width Modulation for Induction Motor Drives
(2018-06-11)Induction motor (IM) drives are employed in a wide range of industries due to low maintenance, improved efficiency and low emissions. Industrial installations of high-power IM drives rated up to 30 MW have been reported. ... -
A Low-Complexity Algorithm For Intrusion Detection In A PIR-Based Wireless Sensor Network
(2011-08-25)This thesis investigates the problem of detecting an intruder in the presence of clutter in a Passive Infra-Red (PIR) based Wireless Sensor Network (WSN). As one of the major objectives in a WSN is to maximize battery life, ... -
Low-Complexity Decoding and Construction of Space-Time Block Codes
(2018-04-11)Space-Time Block Coding is an efficient communication technique used in multiple-input multiple-output wireless systems. The complexity with which a Space-Time Block Code (STBC) can be decoded is important from an ... -
A Low-Complexity Intrusion Detection Algorithm For Surveillance Using PIR Sensors In A Wireless Sensor Network
(2011-07-12)A Wireless Sensor Network (WSN) is a dense network of autonomous devices (or motes) with sensors that cooperatively monitor some physical or environmental conditions. These devices are resource constrained -limited memory, ... -
Low-Complexity Receiver Algorithms in Large-Scale Multiuser MIMO Systems and Generalized Spatial Modulation
(2018-04-18)Multi-antenna wireless systems have become very popular due to their theoretically predicted higher spectral efficiencies and improved performance compared to single-antenna systems. Large-scale multiple-input multiple-output ... -
Low-PAPR, Low-delay, High-Rate Space-Time Block Codes From Orthogonal Designs
(2011-02-03)It is well known that communication systems employing multiple transmit and multiple receive antennas provide high data rates along with increased reliability. Some of the design criteria of the space-time block codes ... -
Machine Learning Algorithms Using Classical And Quantum Photonics
ABSTRACT In the modern day , we are witnessing two complementary trends, exponential growth in data and shrinking of chip size. The Data is approaching to 44 zettabytes by 2020 and the chips are now available with 10nm ... -
Machine Learning and Rank Aggregation Methods for Gene Prioritization from Heterogeneous Data Sources
(2017-12-05)Gene prioritization involves ranking genes by possible relevance to a disease of interest. This is important in order to narrow down the set of genes to be investigated biologically, and over the years, several computational ... -
Machine Learning for Decoding Imagined words and Altered State of Consciousness from EEG
In the first part of the thesis, the results of our studies on the classification of phonological categories in imagined words are presented. We have investigated whether there are any statistically significant differences ... -
A Macroscopic Physical Model For Lightning Return Stroke
(2014-10-15)In the design of most of the modern systems, lightning threat needs to be considered at the design phase itself. This demands a suitable model and owing to associated complexity, only simplified modeling have been attempted. ... -
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 ...