compressed sensing造句

This approach appears in the signal recovery framework called compressed sensing.
Compressed sensing is used in single-pixel cameras from Rice University.
One of the main goal in compressed sensing is the recovery process.
M-Theory also shares some principles with Compressed Sensing.
This idea is the basis of compressed sensing.
It's difficult to find compressed sensing in a sentence. 用compressed sensing造句挺难的

Compressed sensing also attracted his interest more recently.
is a standard problem in compressed sensing.
For this reason, the Lasso and its variants are fundamental to the field of compressed sensing.
Compressed sensing addresses the issue of high scan time by enabling faster acquisition by measuring fewer Fourier coefficients.
Matching pursuit is related to the field of compressed sensing and has been extended by researchers in that community.
Another core idea of M-Theory is close in spirit to ideas from the field of compressed sensing.
Compressed sensing, in this case, removes the high spatial gradient parts-mainly, image noise and artifacts.
At first glance, compressed sensing might seem to violate sparsity of the signal in question and not its highest frequency.
Sparse signals with high frequency components can be highly under-sampled using compressed sensing compared to classical fixed-rate sampling.
In compressed sensing, one adds the constraint of sparsity, allowing only solutions which have a small number of nonzero coefficients.

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