This paper deals with the study of Independent Component Analysis. Independent Component Analysis is basically a method which is used to implement the concept of Blind Source Separation. Blind Source Separation is a technique which is used to extract set of source signal from set of their mixed source signals. The various techniques which are used for implementing Blind Source Separation totally depends upon the properties and the characteristics of original sources. Also there are many fields nowadays in which Independent Component Analysis is widely used. This paper deals with the theoretical concepts of Independent Component Analysis, its principles and its widely used applications.
MISHRA, SONALI; BHARDWAJ, NITISH; and JAIN, DR. RITA
"THEORETICAL CONCEPTS & APPLICATIONS OF INDEPENDENT COMPONENT ANALYSIS,"
International Journal of Computer Science and Informatics: Vol. 4
, Article 3.
Available at: https://www.interscience.in/ijcsi/vol4/iss1/3