Compressive sensing reconstruction algorithms using partially correct signal information

Compressive Sensing (CS) ensures the reconstruction of a sparse signal from a set of linear measurements that are fewer compared to the signal length. The sparse signal can be reconstructed using a convex relaxation algorithm such as Basis Pursuit (BP) or a Greedy Pursuit (GP) such as Backtrackin...

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書目詳細資料
主要作者: Sekar Sathiya Narayanan
其他作者: Anamitra Makur
格式: Theses and Dissertations
語言:English
出版: 2017
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在線閱讀:http://hdl.handle.net/10356/69572
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