Constrained measurement systems of low-dimensional signals

Constrained measurement systems of low-dimensional signals

The object of this thesis is the study of constrained measurement systems of signals having low-dimensional structure using analytic tools from Compressed Sensing (CS). Realistic measurement systems usually have architectural constraints that make them differ from their idealized, well-studied count...

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Bibliographic Details
Main Author: Yap, Han Lun
Published: Georgia Institute of Technology 2013
Subjects:
Compressed sensing
Manifold embeddings
Stable embeddings
Concentration of measure
Restricted isometry property
Recurrent neural networks
Short-term memory
Takens' embedding
Signal processing
Mathematical optimization
Detectors
Remote sensing
Data compression (Computer science)
Online Access:http://hdl.handle.net/1853/47716

Internet

http://hdl.handle.net/1853/47716

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