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    Deep Learning Based Channel Estimation in Wireless Communications 

    Mattu, Sandesh Rao
    Deep learning techniques which employ trained neural networks to solve problems have witnessed widespread adoption in diverse fields like medicine, architecture, robotics, autonomous vehicles, wireless communications, ...

    Performance Analysis of Orthogonal Time Frequency Space Modulation in High-Doppler Channels 

    Bhat, Vighnesh S
    Next generation wireless systems are envisioned to offer dependable and consistent user experience across a wide range of environments, including high-mobility scenarios involving high-speed trains, aircrafts, and ...
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    Exploring the Fundamental Limits of Information-Theoretically Secure Key Generation and DNA-Based Data Storage 

    Kumar, Praneeth V
    In this dissertation, we carry out an exploration of the fundamental limits of information-theoretic security in two different settings: multiterminal key agreement and DNA-based data storage. Most of the dissertation ...

    Low Light Image Restoration: Models, Algorithms and Learning with Limited Data 

    Malik, Sameer
    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 ...

    Vision-driven Tele-Operation for Robot Manipulation 

    Sharma, Himanshu
    It’s worth the time to acknowledge just how amazingly well we humans can perform tasks with our hands. Starting from picking up a coin to buttoning up our shirts. All these tasks for robots are still at the very forefront ...

    Group Testing: A Probably Approximately Correct Analysis and Recovery Algorithms for pooled RT-qPCR 

    Bharadwaja, Sameera H
    The goal of group testing, also called pool testing, is to successfully identify a set of k defectives from a population of n items using only m (< n) group tests. In each group test, a subset of the n items is tested ...

    Learning with Multi-domain and Multi-view Graph Data 

    Kadambari, Sai Kiran
    In many applications, we observe large volumes of data supported on irregular (non-Euclidean) domains. In graph signal processing (GSP) and graph machine learning (GML), data is indexed using the nodes of a graph and ...

    WiROS: A QoS Software Solution for ROS2 in a WiFi Network 

    Jaiswal, Bishal
    Robot Operating System (ROS) has played a pivotal role as a communication middleware among different peripherals, including sensors and actuators of robotics and other systems, with the advancement of connected systems ...

    Privacy in Information Retrieval, Delivery and Distributed Computing 

    Vaidya, Kanishak
    The aim of our work is to address the challenges of privacy in information retrieval, information delivery, and in distributed computing systems. We focus on reducing the download and upload costs and decreasing the ...

    Generalized Likelihood Ratio Procedures for Early Detection of Machine Faults 

    Chaythanya, Krishna K V
    Condition monitoring of industrial machinery is an important example of a cyber physical system (CPS), in which measurements on a machine, transmitted over a wireless network, are used to make inferences about the health ...
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    AuthorBadita, Ajay Kumar (1)Balaji, S B (1)Bharadwaja, Sameera H (1)Bhat, Vighnesh S (1)Bhattacharya, Swati (1)Chaythanya, Krishna K V (1)Choubisa, Tarun (1)Gunjal, Samyama G H (1)Gurugubelli, Sravanthi (1)Jaiswal, Bishal (1)... View MoreSubjectTECHNOLOGY (27)Deep Learning (2)Distributed Storage (2)Information Theory (2)IoT (2)Machine Learning (2)3D Representations (1)4G cellular systems (1)5g (1)5G Cellular systems (1)... View MoreHas File(s)Yes (27)

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