Sparse systems can be found many other places: genes that cause cancer, etc.
More importantly there’s a sparse representation for any signal. There is a sparse domain real world images, the wavelets domain. There’s a domain where audio signals tend to be sparse, the frequency/Fourier domain.
Solving these systems relies on a specific type of regularzation. The field of compressed sensing has risen from a 2006 Candes paper.
A first blush this looks like a lot of text not saying much. There is enough information there to cause me some interest, but some specific problems perhaps, or something we can actually do something about.
Sparse systems can be found many other places: genes that cause cancer, etc.
More importantly there’s a sparse representation for any signal. There is a sparse domain real world images, the wavelets domain. There’s a domain where audio signals tend to be sparse, the frequency/Fourier domain.
Solving these systems relies on a specific type of regularzation. The field of compressed sensing has risen from a 2006 Candes paper.
A first blush this looks like a lot of text not saying much. There is enough information there to cause me some interest, but some specific problems perhaps, or something we can actually do something about.