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Synchronization, Equalization and Diversity Algorithms for Sparse Aeronautical Telemetry Channels
Wireless aeronautical telemetry systems are crucial when aircraft, missiles, or spacecraft are tested. Telemetry from an onboard flight test instrumentation system is the primary source of real-time measurement and status ...
Studies on Matrix Completion and Partial Realization with Nuclear Norm Minimization
The field of Compressed Sensing addresses the problem of recovering relatively sparse entities from a limited number of data points. Low rank matrices arise in a wide range of settings in this field and two of its ...
Compressed Sensing Algorithms and Applications to Sparse Control
Sparsity is an emerging topic in signal/ image processing, control systems, machine learning, statistics etc. Compressed sensing theory addresses the problem of recovering a relatively sparse entity from a limited number ...
Deterministic Compressed Sensing Using Binary Measurement Matrices
The fundamental objective of compressed sensing is to recover a high dimensional but low complexity vector or matrix from only a few linear measurements. In most of the initial publications in the field of compressed ...