Peter Gerstoft
Abstract
Compressed sensing or sparse sampling is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. I will describe the basic features of compressive sampling that has many opportunities in acoustics.
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Compressed sensing or sparse sampling is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. I will describe the basic features of compressive sampling that has many opportunities in acoustics.
Key concepts: Compressed sensing, Underdetermined system, Computer science, SIGNAL (programming language), Sampling (signal processing), Acoustics, Signal reconstruction, Signal processing