Abstract:
Compressed sensing or compressive sensing or CS is a new data acquisition protocol that has been an active research area for nearly a decade. It samples the signal of interest at a rate much below the Shannon nyquist rate and has led to better results in many cases as compared to the traditional Shannon – nyquist sampling theory. This paper surveys the theory of Compressive sensing and its applications in various fields of interest.
Reference this Research Paper (copy & paste below code):
Pooja C. Nahar, Dr. Mahesh T. Kolte (2018); An Introduction to Compressive Sensing and its Applications;
Int J Sci Res Publ 4(6) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0614.php?rp=P302808