Compressive Sensing Recovery Algorithms and Applications- A Survey
Compressive Sensing Recovery Algorithms and Applications- A Survey is a scholarly work, published in 2018 in ''IOP Conference Series: Materials Science and Engineering''. The main subjects of the publication include magnetic resonance imaging, signal processing, noise reduction, computer science, SIGNAL, frequency domain, signal reconstruction, algorithm, compressed sensing, range, Nyquist rate, Nyquist–Shannon sampling theorem, and sampling. The paper introduces a survey of the various reconstruction algorithms which might enable the use of this technology for wide spread hardware combatiable implementation in the near future.