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Found 2 swedish dissertations matching the above criteria.
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1. Parameter Estimation and Filtering Using Sparse Modeling
Abstract : Sparsity-based estimation techniques deal with the problem of retrieving a data vector from an undercomplete set of linear observations, when the data vector is known to have few nonzero elements with unknown positions. It is also known as the atomic decomposition problem, and has been carefully studied in the field of compressed sensing. READ MORE
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2. Parameter Estimation Using Sparse Modeling: Algorithms and Performance Analysis
Abstract : The idea of representing a signal in a classical computing machine has played a central role in the field of signal processing. The last two decades have witnessed an important breakthrough in this by taking all possible linear transforms and domains into account. READ MORE