  Since the start of Indian cinema, a number of films have been made where a
particular song is based on a certain raga. These songs have been taking a
major role in spreading the essence of classical music to the common people,
who have no formal exposure to classical music. In this paper, we look to
explore what are the particular features of a certain raga which make it
understandable to common people and enrich the song to a great extent. For
this, we chose two common ragas of Hindustani classical music, namely "Bhairav"
and "Mian ki Malhar" which are known to have widespread application in popular
film music. We have taken 3 minute clips of these two ragas from the renderings
of two eminent maestros of Hindustani classical music. 3 min clips of ten (10)
widely popular songs of Bollywood films were selected for analysis. These were
analyzed with the help of a latest non linear analysis technique called
Multifractal Detrended Cross correlation Analysis (MFDXA). With this technique,
all parts of the Film music and the renderings from the eminent maestros are
analyzed to find out a cross correlation coefficient ({\gamma}x) which gives
the degree of correlation between these two signals. We hypothesize that the
parts which have the highest degree of cross correlation are the parts in which
that particular raga is established in the song. Also the variation of cross
correlation coefficient in the different parts of the two samples gives a
measure of the modulation that is executed by the singer. Thus, in nutshell we
try to study scientifically the amount of correlation that exists between the
raga and the same raga being utilized in Film music. This will help in
generating an automated algorithm through which a na\"ive listener will relish
the flavor of a particular raga in a popular film song. The results are
discussed in detail.
