January 2019
Intermediate to advanced
294 pages
6h 43m
English
Content preview from Machine Learning Quick Reference
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Compressed sensing
Compressed sensing is one of the easiest problems to solve in the area of information theory and signal processing. It is a signal acquisition and reconstruction technique where the signal is compressible. The signal must be sparse. Compressed sensing tries to fit samples of a signal to functions, and it has a preference to use as few basic functions as possible to match the samples. This is described in the following diagram:
This is one of the prime equations that we see in linear algebra, where y is a M x 1 matrix, phi is a M x N matrix that has got a number of columns that is higher than the number of rows, and x is ...
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