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    Browsing by Advisor "Garani, Shayan Srinivasa"

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      • Efficient Hardware Architectures for Error Correcting Codes Applicable to Data Storage 

        Mondal, Arijit
        Error correcting codes (ECCs) are essential to transmission and data storage sys-tems to protect the information from errors introduced by noisy communication channels. There are two main classes of ECCs, namely algebraic ...
      • Entanglement-assisted Additive Qudit Stabilizer Codes 

        Nadkarni, Priya J
        Quantum systems governed by the laws of quantum mechanics are the most awaited technology of this century. Based on the shrinkage in the size of the devices over the years in classical systems, device sizes are expected ...
      • Learning Non-linear Mappings from Data with Applications to Priority-based Clustering, Prediction, and Detection 

        Machireddy, Amrutha
        With the volume of data generated in today's internet-of-things, learning algorithms to extract and understand the underlying relations between the various attributes of data have gained momentum. This thesis is focused ...
      • Protocols for quantum information processing on graph states 

        Raina, Ankur
        Quantum entanglement is a unique phenomenon that occurs in quantum systems and ensures the feasibility of tasks considered impossible in the classical world. Two such important tasks are superdense coding and quantum ...
      • Signal Processing and Coding for Two-Dimensional Magnetic Recording 

        Matcha, Chaitanya Kumar
        Many novel approaches have been proposed to improve storage densities of magnetic recording beyond the existing 1 Tb/in2. These include heat-assisted magnetic recording (HAMR), bit-patterned media (BPM) and two-dimensional ...
      • Spatio-temporal Memories: Theory and Algorithms 

        Prayag Gowgi, S K
        This thesis is primarily focused on building a systematic theory for spatio-temporal memories based on unsupervised learning and exploring its applications. Also, contributions are made in the area of supervised learning ...

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