Sensing

Can a linear reconstruction in compressive sensing perform well?

Can a linear reconstruction in compressive sensing perform well?
  1. Who invented compressive sensing?
  2. What is compressed sensing in image processing?

Who invented compressive sensing?

Background. Although the term compressed sensing (compressive sensing) was coined only recently with the paper by Donoho [26], followed by a huge research activity, such a development did not start out of thin air.

What is compressed sensing in image processing?

Compressed sensing (CS) is an image acquisition method, where only few random measurements are taken instead of taking all the necessary samples as suggested by Nyquist sampling theorem. It is one of the most active research areas in the past decade.

Transforming $G(z) = z-1$ to time-domain
What will Z-transform convert time domain signal into?How do you convert Z-transform to Laplace transform?How do I convert from S domain to Z domain?...
Should we use Maximal ratio combining and an equalizer together?
What are the advantages of maximal ratio combining over selection combining?What is maximal ratio combining technique?What is MRC in MIMO?What is Blu...
Emperical mode decomposition problem
What is empirical mode decomposition method?What is IMF in EMD?How to install EMD in Python?What is VMD decomposition? What is empirical mode decomp...