Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 602-621 of 1208
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Joint Congestion Control, Routing And Distributed Link Scheduling In Power Constrained Wireless Mesh Networks
(2010-07-29)We study the problem of joint congestion control, routing and MAC layer scheduling in multi-hop wireless mesh networks, where the nodes in the network are subjected to energy expenditure rate constraints. As wireless ... -
Joint Estimation of Impairments in MIMO-OFDM Systems
(2017-11-16)The integration of Multiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) techniques has become a preferred solution for the high rate wireless technologies due to its high spectral ... -
Joint Evaluation Of Multiple Speech Patterns For Speech Recognition And Training
(2009-12-09)Improving speech recognition performance in the presence of noise and interference continues to be a challenging problem. Automatic Speech Recognition (ASR) systems work well when the test and training conditions match. ... -
Joint Spectro-Temporal Analysis of Moving Acoustic Sources
Signals generated by fast moving acoustic sources are both challenging for analysis as well as rich in information. The motion is conceptually relative between the source and receiver i.e., either one of them is moving or ... -
Kernel Methods Fast Algorithms and real life applications
(Indian Institute of Science, 2005-02-08)Support Vector Machines (SVM) have recently gained prominence in the field of machine learning and pattern classification (Vapnik, 1995, Herbrich, 2002, Scholkopf and Smola, 2002). Classification is achieved by finding a ... -
Kernel-Based Image Filtering: Fast Algorithms and Applications
Image filtering is a fundamental preprocessing task in computer vision and image processing. Various linear and nonlinear filters are routinely used for enhancement, upsampling, sharpening, reconstruction, etc. The focus ... -
Key Distribution In Wireless Sensor Networks
(2010-06-09)In the last few years, wireless sensor networks (WSNs) have become a very actively researched area. The impetus for this spurt of interest were developments in wireless technologies and low-cost VLSI, that made it possible ... -
Knowledge Representation Framework For A Web-based Intelligent Tutoring System For Engineering Courses
(2010-10-08)Tutoring is one of the most effective instruction methods. Computer as an Intelligent Tutor is an area of research since many decades. Technology advancement in Information and Communication Technology (ICT) can be used ... -
A Knowledge-Based Approach To Pattern Clustering
(Indian Institute of Science, 2005-03-11)The primary objective of this thesis is to develop a methodology for clustering of objects based on their functionality typified by the notion of concept. We begin by giving a formal definition of concept. By assigning a ... -
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 ... -
Lambda Bipolar Transistor (LBT) in Static Random Access Memory Cell
(Indian Institute of Science, 2005-07-07)With a view to reduce the number of components in a Static Random Access Memory (SRAM) cell, the feasibility of use of Lambda Bipolar Transistor (LBT)in the bistable element of the cell has been explored under the present ... -
Language Identification Through Acoustic Sub-Word Units
(2011-09-26) -
Language Support for Exploiting Software Structure Specifications
(Indian Institute of Science, 2005-02-16)Precise specification of the architecture and design of software is a good practice. Such specifications contain a lot of information about the software that can potentially be exploited by tools, to reduce redundancy ... -
Language Support For Testing CORBA Based Applications
(Indian Institute of Science, 2005-12-07)Component Based Development has emerged as economical, reusable, scalable way of developing enterprise as well as embedded software applications. Testing distributed component based systems is difficult when third party ... -
Large Data Clustering And Classification Schemes For Data Mining
(2009-03-20)Data Mining deals with extracting valid, novel, easily understood by humans, potentially useful and general abstractions from large data. A data is large when number of patterns, number of features per pattern or both are ... -
Large Scale Graph Processing in a Distributed Environment
(2018-05-25)Graph algorithms are ubiquitously used across domains. They exhibit parallelism, which can be exploited on parallel architectures, such as multi-core processors and accelerators. However, real world graphs are massive in ... -
Large Scale Implementation Of The Block Lanczos Algorithm
(2010-08-16)Large sparse matrices arise in many applications, especially in the major problems of Cryptography of factoring integers and computing discrete logarithms. We focus attention on such matrices called sieve matrices generated ... -
Large Time Behaviour and Metastability in Mean-Field Interacting Particle Systems
This thesis studies the large time behaviour and metastability in weakly interacting Markov processes with jumps. Our motivation is to quantify the large time behaviour of various networked systems that arise in practice. The ... -
Lattice Codes for Secure Communication and Secret Key Generation
(2018-05-22)In this work, we study two problems in information-theoretic security. Firstly, we study a wireless network where two nodes want to securely exchange messages via an honest-but-curious bidirectional relay. There is no ...