Compressive Sensing [Lecture Notes]
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Abstract
This lecture note presents a new method to capture and represent compressible signals at a rate significantly below the Nyquist rate. This method, called compressive sensing, employs nonadaptive linear projections that preserve the structure of the signal; the signal is then reconstructed from these projections using an optimization process.
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Topics
Keywords
- Compressed sensing
- Nyquist rate
- Computer science
- SIGNAL (programming language)
- Signal reconstruction
- Process (computing)
- Nyquist–Shannon sampling theorem
- Algorithm
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