Now showing items 1-10 of 20
Optimal Scheduling For Balancing Queue Lengths
NoC Design & Optimization of Multicore Media Processors
Network on Chips are critical elements of modern System on Chip(SoC) as well as Chip Multiprocessor(CMP)designs. Network on Chips (NoCs) help manage high complexity of designing large chips by decoupling ...
Role of Nonlocality and Counterfactuality in Quantum Cryptography
Quantum cryptography is arguably the most successfully applied area of quantum information theory. In this work, We invsetigate the role of quantum indistinguishability in random number generation, quantum temporal ...
Computational Models of Perceptual Space : From Simple Features to Complex Shapes
Dissimilarity plays a very important role in object recognition. But, finding perceptual dissimilarity between objects is non-trivial as it is not equivalent to the pixel dissimilarity between the objects (For example, two ...
Codes With Locality For Distributed Data Storage
This thesis deals with the problem of code design in the setting of distributed storage systems consisting of multiple storage nodes, storing many different data les. A primary goal in such systems is the efficient repair ...
Coding Schemes For Distributed Subspace Computation, Distributed Storage And Local Correctability
In this thesis, three problems have been considered and new coding schemes have been devised for each of them. The first is related to distributed function computation, the second to coding for distributed storage and the ...
Minimization Problems Based On A Parametric Family Of Relative Entropies
We study minimization problems with respect to a one-parameter family of generalized relative entropies. These relative entropies, which we call relative -entropies (denoted I (P; Q)), arise as redundancies under mismatched ...
Belief Propagation and Algorithms for Mean-Field Combinatorial Optimisations
We study combinatorial optimization problems on graphs in the mean-field model, which assigns independent and identically distributed random weights to the edges of the graph. Specifically, we focus on two generalizations ...