Browsing by Author "Narayanan, Krishna"
Now showing items 1-20 of 94
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Jeon, Nicholas (2021-04-16)We consider two problems related to uncoordinated multiple access. The first is the design of schemes that can identify the set of active users. The second is the design of low complexity multiuser detection schemes. We ...
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Zhang, Nan (Texas A&M University, 2007-04-25)This dissertation studied new transmission line fault diagnosis approaches using new technologies and proposed a scheme to apply those techniques in preventing and mitigating cascading blackouts. The new fault diagnosis ...
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Karimi, Esmaeil (2022-04-06)In the first part of this dissertation, we consider the Group Testing (GT) problem and its two variants, the Quantitative GT (QGT) problem and the Coin Weighing (CW) problem. An instance of the GT problem includes a ground ...
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Li, Yue (2014-04-29)The evolution of data storage technologies has been extraordinary. Hard disk drives that fit in current personal computers have the capacity that requires tons of transistors to achieve in 1970s. Today, we are at the ...
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Yan, Muxi (2016-05-02)Network coding is a novel technique that has a significant potential to improve throughput, robustness and security of both wireless and wireline networks. With network coding the intermediate nodes in the network have the ...
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Liu, Haosi (2019-11-05)This thesis considers the long-standing problem of Peak-to-Average-Power Ratio (PAPR) reduction in OFDM systems. Due to the nonlinear amplifiers commonly used, OFDM signals often will be distorted when they are transmitted. ...
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Zhu, Jun (Texas A&M University, 2004-11-15)In order to maintain a continuous power suppply, nowadays relays in transmission systems are required to be able to deal with complicated faults involving non-conventional connections, which poses a challenge to the short ...
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Vem, Avinash (2017-12-14)The broad theme of this dissertation is design of schemes that admit iterative algorithms with low computational complexity to some new problems arising in massive multiple access and big data. Although bipartite Tanner ...
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Gao, Jiahui (2020-11-20)We study two problems related to sparse signal recovery. The first problem considered is querying a sub-image of size square of M in a large image database of size square of N to determine all the locations where sub-image ...
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Arumugam, Jayavel (2017-04-20)Complete description of blood coagulation pathways with respect to patientspecific characterization presents a major challenge. Characteristics of blood coagulation vary drastically between patients. It is essential to ...
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Hajiramezanali, Mohammad Ehsan (2021-01-06)We propose a suite of Bayesian learning methods to address challenges arising from task and data heterogeneity in life science applications. First, we develop a novel multi-domain negative binomial (NB) factorization ...
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Hasanzadehmoghimi, Arman (2021-12-03)In this dissertation, we propose novel Bayesian machine learning models to solve various graph analytics problems, including graph representation learning, graph generative modeling, structured semi-supervised learning, ...
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Lahiri, Aditya (2018-07-31)Plants are sessile organisms and are unable to relocate to favorable locations under extreme environmental conditions, and hence they have no choice but to acclimate and eventually adapt to the severe conditions to ensure ...
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Luo, Zhao Tang (2022-04-20)In many applications, spatial data often display heterogeneous dependence patterns and may be subject to irregular geographic constraints. In light of these challenges, this dissertation develops several novel Bayesian ...
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Madala, Sriharsha (2014-12-12)The Gaussian Multiple access channel (GMAC) is a well-studied multi user channel in information theory and communication theory. The capacity of the GMAC can be achieved in theory and closely approached with practical ...
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Acharyya, Satwik (2020-07-02)My dissertation focuses on developing Bayesian methodology for complex data structures with an emphasis on building novel algorithms to reduce the computational complexity. One viewpoint of this dissertation is to develop ...
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Muthuveeru Subramaniam, Adarsh (2020-04-17)The problem considered is that of distributing machine learning operations of matrix multiplication and multivariate polynomial evaluation among computer nodes a.k.a worker nodes some of whom don’t return their outputs or ...
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Uppal, Momin Ayub (2011-10-21)The area of cooperative communications has received tremendous research interest in recent years. This interest is not unwarranted, since cooperative communications promises the ever-so-sought after diversity and ...
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Kadhe, Swanand Ravindra (2017-12-04)Cloud systems have become the backbone of many applications such as multimedia streaming, e-commerce, and cluster computing. At the foundation of any cloud architecture lies a large-scale, distributed, data storage system. ...
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Wang, Ping-Chung (2018-05-03)We consider a wireless network consisting of multiple source nodes, a set of relays and a destination node. Suppose the sources transmit their messages simultaneously to the relays and the destination aims to decode all ...