Open AccessCompressive Sensing: Methods, Techniques, and Applications
Author(s) -
Vivek Upadhyaya,
Mohammad Salim
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1099/1/012012
Subject(s) - petabyte , byte , computer science , signal (programming language) , scarcity , compressed sensing , data compression , signal processing , compression (physics) , real time computing , big data , computer hardware , data mining , artificial intelligence , digital signal processing , materials science , microeconomics , economics , composite material , programming language
According to the latest research, it is very much clear that in future we require a huge amount of data as modern advancement in communication and signal processing generates a large number of bytes some examples are 5G peak data rate about 300 Mb/sec, an image of black hole required several petabytes to store & in medical signal processing huge amount of data required. So, by these examples, we can easily understand the scarcity of storage in near future. To overcome this problem of data scarcity such type of data compression is required in which the information of the signal will not be degraded. A well-known method is Compressive Sensing which can easily tackle this problem of data compression.